Online Publications

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Papers Organized by Theme

(or see by Date for a single listing of these papers)

Modeling
Empirical
Computational Psychiatry and Neurology
Reinforcement Learning and Decision Making in Basal Ganglia and Frontal Cortex
Working Memory and Cognitive Control in the Prefrontal Cortex and Basal Ganglia
Learning, Memory and Generalization in the Hippocampus
Commentaries
Preprints

Papers Listed by Date

(or see by Theme)

[PDF] [Abstract] Soni, A. & Frank, M.J. (2024). Adaptive chunking improves effective working memory capacity in a prefrontal cortex and basal ganglia circuit. eLife, 13, RP97894.
[PDF] [Abstract] Herz, D.M., Frank, M.J., Tan, H. & Groppa, S. (2024). Subthalamic control of impulsive actions: insights from deep brain stimulation in Parkinson's disease. Brain.
[PDF] [Abstract] Lamba, A., Frank, M.J. & FeldmanHall, O. (2024). Keeping an eye out for change: Anxiety disrupts adaptive resolution of policy uncertainty. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
[PDF] [Abstract] Russin, J.L., McGrath, S.W., Pavlick, E. & Frank, M.J. (in press). Is human compositionality meta-learned?. Behavioral and Brain Sciences.
[PDF] [Abstract] Hitchcock, P.F. & Frank, M.J. (2024). The Challenge of Learning Adaptive Mental Behavior. Journal of Psychopathology and Clinical Science, 33, 413-426.
[PDF] [Abstract] Monosov, I.E., Zimmermann, J., Frank, M.J., Mathis, M.W. & Baker, J.T. (2024). Ethological computational psychiatry: Challenges and opportunities. Current Opinion in Neurobiology, 86:102881,.
[PDF] [Abstract] Ging-Jehli, N.R.*., Kuhn, M.*., Blank, J.M., Chanthrakumar, P., Steinberger, D.C., Yu, Z., Herrington, T.M., Dillon, D.G., Pizzagalli, D.A. & Frank, M.J. (2024). Cognitive signatures of depressive and anhedonic symptoms, and affective states, using computational modeling and neurocognitive testing. *co-first authors. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging , 9, 727-737.
[PDF] [Abstract] Pagnier, G., Asaad, W.F. & Frank, M.J. (2024). Double dissociation of dopamine and subthalamic nucleus stimulation on effortful cost/benefit decision making. Current Biology, 34, 665-660.
[PDF] [Abstract] Hitchcock, P.F. & Frank, M.J. (2024). From tripping and falling to ruminating and worrying: a meta-control account of repetitive negative thinking. Current Opinion in Behavioral Sciences, 56: 101356,.
[PDF] [Abstract] Jaskir, A. & Frank, M.J. (2023). On the normative advantages of dopamine and striatal opponency for learning and choice. eLife, 12, e85107.
[PDF] [Abstract] Rouhani, N., Niv, Y., Frank, M.J. & Schwabe, L. (2023). Multiple routes to enhanced memory for emotionally relevant events. Trends in Cognitive Sciences, 27, 867-882.
[PDF] [Abstract] Rac-Lubashevsky, R., Cremer, A., Collins, A.G.E., Frank, M.J.*. & Schwabe, L.*. (2023). Neural index of reinforcement learning predicts improved stimulus-response retention under high working memory load. *co-senior authors; alphabetical order. Journal of Neuroscience, 43(17), 3131-3143.
[PDF] [Abstract] Scott, D.N. & Frank, M.J. (2023). Adaptive control of synaptic plasticity integrates micro- and macroscopic network function. Neuropsychopharmacology, 48, 121-144.
[Main PDF] [Supp PDF] [Abstract] Liu, R.G. & Frank, M.J. (2022). Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning. Artificial Intelligence, 312,.
[PDF] [Abstract] Fengler, A., Bera, K., Pedersen, M.L. & Frank, M.J. (2022). Beyond Drift Diffusion Models: Fitting a broad class of decision and RL models with HDDM. Journal of Cognitive Neuroscience, 34, 1780-1805.
[PDF] [Abstract] Moolchand, P., Jones, S.R. & Frank, M.J. (2022). Biophysical and Architectural Mechanisms of Subthalamic Theta under Response Conflict. Journal of Neuroscience, 42, 4470-4487.
[PDF] [Abstract] Brown, V.M., Hallquist, M.N., Frank, M.J. & Dombrovski, A.Y. (2022). Humans adaptively resolve the explore-exploit dilemma under cognitive constraints: Evidence from a multi-armed bandit task. Cognition, 229,.
[PDF] [Abstract] Calderon, C.B., Verguts, T. & Frank, M.J. (2022). Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits. PLoS Computational Biology e1009854.
[PDF] [Abstract] Hamid, A.A., Frank, M.J.*. & Moore, C.I.*. (2021). Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment. *co-senior authors; alphabetical order. Cell, 184, 2733-2749.
[PDF] [Abstract] Hitchcock, P.F., Fried, E.I. & Frank, M.J. (2022). Computational psychiatry needs time and context. Annual Reviews of Psychology, 73, 243-270.
[PDF] [Abstract] Fengler, A., Govindarajan, L., Chen, T. & Frank, M.J. (2021). Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience. eLife, 10, e65074.
[PDF] [Abstract] Rac-Lubashevsky, R. & Frank, M.J. (2021). Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence. PLoS Computational Biology, 17, e1008971.
[PDF] [Abstract] Westbrook, J.A., Frank, M.J. & Cools, R. (2021). A mosaic of cost-benefit control over cortico-striatal circuitry. Trends in Cognitive Sciences, 25, 710-721.
[Main PDF] [Supp PDF] [Abstract] Pedersen, M.L., Ironside, M., Amemori, K., McGrath, C.M., Kang, M.S., Graybiel, A.M., Pizzagalli, D.A. & Frank, M.J. (2021). Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder. PLoS Computational Biology, 17(5),.
[PDF] [Abstract] Geana, A., Barch, D.M., Gold, J.M., Carter, C.S., MacDonald, A.W., Ragland, J.D., Silverstein, S.M. & Frank, M.J. (2021). Using computational modelling to capture schizophrenia-specific reinforcement learning differences and their implications on patient classification. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7, 1035-1046.
[PDF] [Abstract] Nassar, M.N., Waltz, J.A., Albrecht, M.A., Gold, J.M. & Frank, M.J. (2021). All or nothing belief updating in patients with schizophrenia reduces precision and flexibility of beliefs. Brain, 144, 1013-1029.
[PDF] [Abstract] Lehnert, L., Littman, M.L. & Frank, M.J. (2020). Reward-predictive representations generalize across tasks in reinforcement learning. PLOS Computational Biology, 16(10), e1008317.
[Main PDF] [Supp PDF] [Abstract] Westbrook, J., van den Bosch, R., Maatta, J.I., Hofmans, L., Papadopetraki, D., Cools, R.*. & Frank, M.J.*. (2020). Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work. *co-senior authors. Science, 367, 1362-1366. [Journal Homepage]
[PDF] [Abstract] Huys, Q.J.M., Browning, M., Paulus, M. & Frank, M.J. (2021). Advances in the computational understanding of mental illness. Neuropsychopharmacology Reviews, 46, 3-19.
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2020). Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning. PLOS Computational Biology, 16, e1007720.
[PDF] [Abstract] Pedersen, M.L. & Frank, M.J. (2020). Simultaneous hierarchical Bayesian parameter estimation for reinforcement learning and drift diffusion models: a tutorial and links to neural data. Computational Brain & Behavior, 3, 458-471.
[PDF] [Abstract] Lamba, A., Frank, M.J. & FeldmanHall, O. (2020). Anxiety impedes adaptive social learning under uncertainty. Psychological Science, 31, 592-603.
[PDF] [Abstract] Piray, P., Dezfouli, A., Heskes, T., Frank, M.J. & Daw, N.D. (2019). Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies. PLoS Computational Biology.
[PDF] [Abstract] Nassar, M.R., Bruckner, R. & Frank, M.J. (2019). Statistical context dictates the relationship between feedback-related EEG signals and learning. eLife, 8, e46975.
[PDF] [Abstract] Frey, A., Frank, M.J. & McCabe, C. (2019). Social reinforcement learning as a predictor of real-life experiences in individuals with high and low depressive symptomatology. Psychological Medicine.
[PDF] [Abstract] Ironside, M., Amemori, K., McGrath, C.L., Pedersen, M.L., Su Kang, M., Amemori, S., Frank, M.J., Graybiel, A.M. & Pizzagalli, D.A. (2020). Approach-avoidance conflict in major depression: Congruent neural findings in human and non-human primates. Biological Psychiatry, 87, 399-408.
[Main PDF] [Supp PDF] [Abstract] Lawlor, V.M., Webb, C.A., Wiecki, T.V., Frank, M.J., Trivedi, M., Pizzagalli, D.A. & Dillon, D.G. (2019). Dissecting the impact of depression on decision-making. Psychological Medicine.
[PDF] [Abstract] Jang, A.I., Nassar, M.N., Dillon, D.G. & Frank, M.J. (2019). Positive reward prediction errors during decision making strengthen memory encoding. Nature Human Behaviour, 3,.
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2018). Compositional clustering in task structure learning. PLOS Computational Biology, 14(4), e1006116.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2018). Within- and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory. Proceedings of the National Academy of Sciences, 115, 2502-2507.
[Main PDF] [Supp PDF] [Abstract] Nassar, M.R., Helmers, J. & Frank, M.J. (2018). Chunking as a rational strategy for lossy data compression in visual working memory. Psychological Review, 125, 486-511.
[PDF] [Abstract] Cavanagh, J.F., Bismark, A., Frank, M.J. & Allen, J.J.B. (2018). Multiple Dissociations between Comorbid Depression and Anxiety on Reward and Punishment Processing: Evidence from Computationally Informed EEG. Computational Psychiatry, 1, 1-17.
[PDF] [Abstract] Swart, J.C., Frank, M.J., Maatta, J.I., Jensen, O., Cools, R. & den Ouden, H.E.M. (2018). Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action. PLoS Biology, 16, e2005959.
[PDF] [Abstract] Patel, S.R., Herrington, T., Sheth, S.A., Mian, M., Bick, S.K., Yang, J.C., Flaherty, A.W., Frank, M.J., Widge, A.S., Dougherty, D. & Eskandar, E.N. (2018). Intermittent subthalamic nucleus deep brain stimulation induces risk-aversive behavior in human subjects. eLife, 7, e36460.
[PDF] [Abstract] Ritz, H., Nassar, M.R., Frank, M.J. & Shenhav, A. (2018). A control theoretic model of adaptive learning in dynamic environments. Journal of Cognitive Neuroscience, 30, 1405-1421.
[PDF] [Abstract] Jahfari, S., Ridderinkhof, K.R., Collins, A.G.E., Knapen, T., Waldorp, L. & Frank, M.J. (2019). Cross-task contributions of frontobasal ganglia circuitry in response inhibition and conflict-induced slowing. Cerebral Cortex, 29, 1969-1983.
[PDF] [Abstract] Hernaus, D., Gold, J.M., Waltz, J.A. & Frank, M.J. (2018). Impaired expected value computations coupled with overreliance on stimulus-response learning in schizophrenia. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
[PDF] [Abstract] Waltz, J.A., Xu, Z., Brown, E.C., Ruiz, R.R., Frank, M.J. & Gold, J.M. (2018). Motivational deficits in schizophrenia are associated with reduced differentiation between gain and loss-avoidance feedback in the striatum. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3, 239-247.
[PDF] [Abstract] Westbrook, J.A. & Frank, M.J. (2018). Dopamine and proximity in motivation and cognitive control. Current Opinion in Behavioral Sciences, 22, 28-34.
[PDF] [Abstract] Maia, T.V., Huys, Q.J.M. & Frank, M.J. (2017). Theory-based computational psychiatry. Biological Psychiatry, 82, 382-384.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E., Albrecht, M., Waltz, J.A., Gold, J.M. & Frank, M.J. (2017). Interactions between working memory, reinforcement learning and effort in value-based choice: A new paradigm and selective deficits in schizophrenia. Biological Psychiatry, 82, 431-439.
[PDF] [Abstract] Collins, A.G.E., Ciullo, B., Frank, M.J. & Badre, D. (2017). Working memory load strengthens reward prediction errors. Journal of Neuroscience, 37, 4332-4342.
[PDF] [Abstract] Swart, J.C., Frobose, M.I., Cook, J.L., Geurts, D.E.M., Frank, M.J., Cools, R. & den Ouden, H.E.M. (2017). Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action. eLife, 6:e22169,.
[PDF] [Abstract] Kasanova, Z., Ceccarini, J., Frank, M.J., van Amelsvoort, T., Booij, J., Heinzel, A., Mottaghy, F. & Myin-Germeys, I. (2017). Striatal dopaminergic modulation of reinforcement learning predicts reward-oriented behavior in daily life. Biological Psychology, 127, 1-9.
[PDF] [Abstract] Frank, M.J. (2016). Computational Cognitive Neuroscience Approaches to Deconstructing Mental Function and Dysfunction. A.D. Redish & J.D. Gordon (Eds) Computational Psychiatry: New Perspectives on Mental Illness. Strüngmann Forum Reports, vol. 20, J. Lupp, series editor, 101-120, Cambridge, MA: MIT Press.[Publisher] [Strüngmann Forum Reports]
[PDF] [Abstract] Kurth-Nelson, Z., O'Doherty, J.P., M., B.D., Denève, S., Durstewitz, D., Frank, M., Gordon, J., Mathew, S.J., Y., N., Ressler, K. & Tost, H. (2016). Computational Approaches for Studying Mechanisms of Psychiatric Disorders. A.D. Redish & J.D. Gordon (Eds) Computational Psychiatry: New Perspectives on Mental Illness. Strüngmann Forum Reports, vol. 20, J. Lupp, series editor, Cambridge, MA: MIT Press.[Publisher] [Strüngmann Forum Reports]
[PDF] [Abstract] Pedersen, M.L., Frank, M.J. & Biele, G. (2017). The drift diffusion model as the choice rule in reinforcement learning. Psychonomic Bulletin & Review, 24, 1234-1251.
[PDF] [Abstract] Voon, V., Napier, C., Frank, M.J., Sgambato-Faure, V., Grace, A.A., Rodriguez-Oroz, M., Obeso, J., Bezard, E. & Fernagut, P.O. (2017). Impulse control disorders and dyskinesias in Parkinson's disease: an update. The Lancet Neurology, 16, 238-250.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Neural signature of hierarchically structured expectations predicts clustering and transfer of rule sets in reinforcement learning. Cognition, 152, 160-169.
[PDF] [Abstract] Werchan, D.M., Collins, A.G.E., Frank, M.J. & Amso, D. (2016). Role of Prefrontal Cortex in Learning and Generalizing Hierarchical Rules in 8-Month-Old Infants. Journal of Neuroscience, 36, 10314-10322.
[Main PDF] [Supp PDF] [Abstract] Maia, T.V. & Frank, M.J. (2017). An integrative perspective on the role of dopamine in schizophrenia. Biological Psychiatry, 81, 52-66.
[PDF] [Abstract] Nassar, M.R. & Frank, M.J. (2016). Taming the beast: extracting generalizable knowledge from computational models of cognition. Current Opinion in Behavioral Sciences, 11, 49-54.
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2015). A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning. eLife, 4:e12029,.
[PDF] [Abstract] Huys, Q.J.M., Maia, T.V. & Frank, M.J. (2016). Computational psychiatry as a bridge from neuroscience to clinical applications. Nature Neuroscience, 19, 404-413.
[PDF] [Abstract] Albrecht, M.A., Waltz, J.A., Cavanagh, J.F., Frank, M.J. & Gold, J. (2016). Reduction of Pavlovian bias in schizophrenia: Enhanced effects in clozapine-administered patients. PLoS ONE, 11:e0152781, 1-23.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Motor demands constrain cognitive rule structures. PLoS Computational Biology, 12:e1004785,.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Antoniades, C.A., Stevenson, A., Kennard, C., Borowsky, B., Owen, G., Leavitt, B., Roos, R., Durr, A., Tabrizi, S.J. & Frank, M.J. (2016). A computational cognitive biomarker for early-stage Huntington's disease. PLoS ONE, 11:e0148409,.
[PDF] [Abstract] Doll, B.B., Bath, K.G., Daw, N.D. & Frank, M.J. (2016). Variability in dopamine genes dissociates model-based and model-free reinforcement learning. Journal of Neuroscience, 36, 1211-1222.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Surprise! Dopamine signals mix action, value and error. Nature Neuroscience, 19, 3-5.
[PDF] [Abstract] Stephan, K.E., Bach, D.R., Fletcher, P.C., Flint, J., Frank, M.J., Friston, K.J., Heinz, A., Huys, Q.J.M., Owen, M.J., Binder, E.B., Dayan, P., Johnstone, E.C., Meyer-Lindenberg, A., Montague, P.R., Schnyder, U., Wang, X.J. & Breakspear, M. (2016). Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis. The Lancet Psychiatry, 3, 77-83.
[PDF] [Abstract] Badre, D., Frank, M.J. & Moore, C.I. (2015). Interactionist Neuroscience. Neuron, 88, 855-860.
[PDF] [Abstract] Gold, J.M., Waltz, J.W. & Frank, M.J. (2015). Effort cost computation in schizophrenia: A commentary on the recent literature. Biological Psychiatry, 78, 747-753.
[PDF] [Abstract] Morris, L., Baek, K., Kundu, P., Harrison, N.A., Frank, M.J. & Voon, V. (2016). Biases in the Explore-Exploit Tradeoff in Addictions: the Role of Avoidance of Uncertainty. Neuropsychopharmacology, 41, 940-948.
[PDF] [Abstract] Werchan, D.M., Collins, A.G.E., Frank, M.J. & Amso, D. (2015). 8-Month-Old Infants Spontaneously Learn and Generalize Hierarchical Rules. Psychological Science, 26, 805-815.
[PDF] [Abstract] Slagter, H.A., Georgopoulou, K. & Frank, M.J. (2015). Spontaneous eye blink rate predicts learning from negative, but not positive, outcomes. Neuropsychologia, 71, 126-132.
[PDF] [Abstract] Frank, M.J., Gagne, C., Nyhus, E., Masters, S., Wiecki, T.V., Cavanagh, J.F. & Badre, D. (2015). fMRI and EEG Predictors of Dynamic Decision Parameters during Human Reinforcement Learning. Journal of Neuroscience, 35, 484-494.
[PDF] [Abstract] Cox, S.M.L., Frank, M.J., Larcher, K., Fellows, L.K., Clark, C.A., Leyton, M. & Dagher, A. (2015). Striatal D1 and D2 signaling differentially predict learning from positive and negative outcomes. NeuroImage, 109, 95-101.
[PDF] [Abstract] Frank, M.J. (2015). Linking across levels of computation in model-based cognitive neuroscience. B.U. Forstmann & E. Wagenmakers (Eds) An Introduction to Model-Based Cognitive Neuroscience, 163-181, New York: Springer.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Poland, J.S. & Frank, M.J. (2015). Model-based cognitive neuroscience approaches to computational psychiatry: clustering and classification. Clinical Psychological Science, 3, 378-399.
[PDF] [Abstract] Frank, M.J. & Badre, D. (2015). How cognitive theory guides neuroscience. Cognition, 135, 14-20.
[PDF] [Abstract] Cavanagh, J.F., Masters, S.E., Bath, K. & Frank, M.J. (2014). Conflict acts as an implicit cost in reinforcement learning. Nature Communications, 5:5394,.
[PDF] [Abstract] Collins, A.G.E., Brown., J., Gold, J., Waltz, J. & Frank, M.J. (2014). Working memory contributions to reinforcement learning in schizophrenia. Journal of Neuroscience, 34, 13747-13756.
[Main PDF] [Supp PDF] [Abstract] Cockburn, J., Collins, A.G.E. & Frank, M.J. (2014). A reinforcement learning mechanism responsible for the valuation of free choice. Neuron, 83, 551-557.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2014). Opponent Actor Learning (OpAL): modeling interactive effects of striatal dopamine on reinforcement learning and choice incentive. Psychological Review, 121, 337-366.
[PDF] [Abstract] Solomon, M., Frank, M.J., Ragland, J.D., Smith, A.C., Niendam, T.A., Lesh, T.A., Grayson, D.S., Beck, J.S., Matter, J. & Carter, C.S. (2015). Feedback-driven trial-by-trial learning in autism spectrum disorders. American Journal of Psychiatry, 172, 173-181.
[PDF] [Abstract] Kayser, A., Mitchell, J.M., Weinstein, D. & Frank, M.J. (2015). Dopamine, locus of control, and the exploration-exploitation tradeoff. Neuropsychopharmacology, 40, 454-462.
[PDF] [Abstract] Cavanagh, J.F. & Frank, M.J. (2014). Frontal theta as a mechanism for cognitive control. Trends in Cognitive Sciences, 18, 414-421.
[PDF] [Abstract] Collins, A.G.E., Cavanagh, J.F. & Frank, M.J. (2014). Human EEG uncovers latent generalizable task-set structure during learning. Journal of Neuroscience, 34, 4677-4685.
[PDF] [Abstract] Cavanagh, J.F., Sanguinetti, J.L., Allen, J.J.B., Sherman, S.J. & Frank, M.J. (2014). The subthalamic nucleus contributes to post-error slowing. Journal of Cognitive Neuroscience, 26, 2637-2644.
[PDF] [Abstract] Chatham, C., Frank, M.J. & Badre, D. (2014). Corticostriatal output gating during selection from working memory. Neuron, 81, 930-942.
[PDF] [Abstract] Cavanagh, J.F., Wiecki, T.V., Kochar, A. & Frank, M.J. (2014). Eye tracking and pupillometry are indicators of dissociable latent decision processes. Journal of Experimental Psychology: General, 143, 1476-1488.
[PDF] [Abstract] Doll, B.B., Waltz, J.A., Cockburn, J., K., B.J., Frank, M.J. & Gold, J.M. (2014). Reduced susceptibility to confirmation bias in schizophrenia. Cognitive, Affective and Behavioral Neuroscience, 14, 715-728.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Sofer, I. & Frank, M.J. (2013). HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python. Frontiers of Neuroinformatics, 7, 1-10.
[PDF] [Abstract] Narayanan, S.N., Cavanagh, J.F., Frank, M.J. & Laubach, M. (2013). Common medial frontal mechanisms of adaptive control in humans and rodents. Nature Neuroscience, 16, 1888-95.
[PDF] [Abstract] Cavanagh, J.F., Eisenberg, I., Guitart-Masip, M., Huys, Q. & Frank, M.J. (2013). Frontal theta overrides Pavlovian learning biases. Journal of Neuroscience, 33, 8541-8548.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2013). Cognitive control over learning: Creating, clustering and generalizing task-set structure. Psychological Review, 120, 190-229.
[PDF] [Abstract] Wiecki, T.V. & Frank, M.J. (2013). A computational model of inhibitory control in frontal cortex and basal ganglia. Psychological Review, 120, 329-355.
[PDF] [Abstract] Beeler, J.A., Frank, M.J., McDaid, J., Alexander, E., Turkson, S., Sol Bernandez, M., McGehee, D. & Zhuang, X. (2012). A role for dopamine-mediated learning in the pathophysiology and treatment of Parkinson's Disease. Cell Reports, 2, 1747-1761.
[PDF] [Abstract] Gold, J.M., Strauss, G.P., Waltz, J.A., Robinson, B.M., Brown, J.K. & Frank, M.J. (2013). Negative symptoms of schizophrenia are associated with abnormal effort-cost computations. Biological Psychiatry, 74, 130-136.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2012). How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis. European Journal of Neuroscience, 35, 1024-1035.
[PDF] [Abstract] Cavanagh, J.F., Figueroa, C.M., Cohen, M.X. & Frank, M.J. (2012). Frontal theta reflects uncertainty and unexpectedness during exploration and exploitation. Cerebral Cortex 2575-86.
[Main PDF] [Supp PDF] [Abstract] Badre, D., Doll, B.B., Long, N.M. & Frank, M.J. (2012). Rostrolateral prefrontal cortex and individual differences in uncertainty-driven exploration. Neuron, 73, 595-607.
[Main PDF] [Supp PDF] [Abstract] Gold, J.M., Waltz, J.A., Matveeva, T.M., Kasanova, Z., Strauss, G.P., Herbener, E.S., Collins, A.G.E. & Frank, M.J. (2012). Negative symptoms and the failure to represent the expected reward value of actions: Behavioral and computational modeling evidence. Archives of General Psychiatry, 69, 129-138.
[PDF] [Abstract] Jahfari, S., Verbruggen, F., Frank, M., Waldorp, L., Colzato, L., Ridderinkhof, K. & Forstmann, B. (2012). How preparation changes the need for top-down control of the basal ganglia when inhibiting premature actions. Journal of Neuroscience, 32, 10870-8.
[Main PDF] [Supp PDF] [Abstract] Cavanagh, J.F., Wiecki, T.V., Cohen, M.X., Figueroa, C.M., Samanta, J., Sherman, S.J. & Frank, M.J. (2011). Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold. Nature Neuroscience, 14, 1462-1467.
[PDF] [Abstract] Ratcliff, R. & Frank, M.J. (2012). Reinforcement-based decision making in corticostriatal circuits: Mutual constraints by neurocomputational and diffusion models. Neural Computation, 24, 1186-1229.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J. & Badre, D. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: Computational analysis. Cerebral Cortex, 22, 509-526.
[PDF] [Abstract] Badre, D. & Frank, M.J. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 2: Evidence from fMRI. Cerebral Cortex, 22, 527-536.
[PDF] [Abstract] Doll, B.B., Hutchison, K.E. & Frank, M.J. (2011). Dopaminergic genes predict individual differences in susceptibility to confirmation bias. Journal of Neuroscience 6188-6198.
[PDF] [Abstract] Frank, M.J. (2011). Computational models of motivated action selection in corticostriatal circuits. Current Opinion in Neurobiology, 21, 381-386.
[PDF] [Abstract] Maia, T.V. & Frank, M.J. (2011). From reinforcement learning models to psychiatric and neurological disorders. Nature Neuroscience, 14, 154-162.
[PDF] [Abstract] Frank, M.J. & Fossella, J.A. (2011). Neurogenetics and pharmacology of learning, motivation and cognition. Neuropsychopharmacology Reviews, 36, 133-152.
[PDF] [Abstract] Cavanagh, J.F., Bismark, A.J., Frank, M.J. & Allen, J.J.B. (2011). Larger error signals in major depression are associated with better avoidance learning. Frontiers in Psychology | Cognition, 2,.
[PDF] [Abstract] Cockburn, J. & Frank, M.J. (2011). Reinforcement learning, conflict monitoring, and cognitive control: An integrative model of cingulate-striatal interactions and the ERN. R. Mars, J. Sallet, M. Rushworth & N. Yeung (Eds) Neural Basis of Motivational and Cognitive Control, 311-331, Cambridge: The MIT Press.
[PDF] [Abstract] Strauss, G.P., Frank, M.J., Waltz, J.A., Kasanova, Z., Herbener, E.S. & Gold, J.M. (2011). Deficits in positive reinforcement learning and uncertainty-driven exploration are associated with distinct aspects of negative symptoms in schizophrenia. Biological Psychiatry, 69, 424-431.
[PDF] [Abstract] Cavanagh, J.F., Frank, M.J. & Allen, J.J.B. (2011). Social stress reactivity alters reward and punishment learning. Social Cognitive & Affective Neuroscience, 6, 311-320.
[PDF] [Abstract] Solomon, M., Smith, A.C., Frank, M.J., Ly, S. & Carter, C. (2011). Probabilistic reinforcement learning in adults with autism spectrum disorders. Autism Research.
[PDF] [Abstract] Solomon, M., Frank, M.J., Smith, A.C., Ly, S. & Carter, C. (2011). Transitive inference in adults with autism spectrum disorders. Cognitive, Affective and Behavioral Neuroscience.
[PDF] [Abstract] Wietzikoski, E.C., Boschen, S.L., Miyoshi, E., Bortolanza, M., Mendes dos Santos, L., Frank, M.J., Brandao, M.L., Winn, P. & Da Cunha, C. (2012). Roles of D1-like dopamine receptors in the nucleus accumbens and dorsolateral striatum in conditioned avoidance responses. Psychopharmacology, 219, 159-69.
[PDF] [Abstract] Kasanova, Z., Waltz, J.A., Strauss, G.P., Frank, M.J. & Gold, J.M. (2011). Optimizing vs matching: Response strategy in a probabilistic learning task is associated with negative symptoms of schizophrenia. Schizophrenia Research, 127, 215-222.
[PDF] [Abstract] Waltz, J.A., Frank, M.J., Wiecki, T.V. & Gold, J.M. (2011). Altered probabilistic learning and response biases in schizophrenia: Behavioral evidence and neurocomputational modeling. Neuropsychology, 25,.
[PDF] [Abstract] Wiecki, T.V. & Frank, M.J. (2010). Neurocomputational models of motor and cognitive deficits in Parkinson's disease. Progress in Brain Research, 183, 275-297.
[PDF] [Abstract] Cavanagh, J.F., Frank, M.J., Klein, T.J. & Allen, J.J.B. (2010). Frontal theta links prediction errors to behavioral adaptation in reinforcement learning. NeuroImage, 49, 3198-3209.
[PDF] [Abstract] Cavanagh, J.F., Grundler, T.O.J., Frank, M.J. & Allen, J.J.B. (2010). Altered cingulate sub-region activation accounts for task-related dissociation in ERN amplitude as a function of obsessive-compulsive symptoms. Neuropsychologia, 48, 2098-2109.
[PDF] [Abstract] Robinson, O.J., Frank, M.J., Sahakian, B.J. & Cools, C. (2010). Dissociable responses to punishment in distinct striatal regions during reversal learning. NeuroImage 1459-1467.
[PDF] [Abstract] Strauss, G.P., Robinson, B.M., Waltz, J.A., Frank, M.J., Kasanova, Z., Herbener, E.S. & Gold, J.M. (2011). Patients with schizophrenia demonstrate inconsistent preference judgments for affective and nonaffective stimuli. Schizophrenia Bulletin, 37, 1295-1304.
[PDF] [Abstract] Samson, R.D., Frank, M.J. & Fellous, J. (2010). Computational models of reinforcement learning: the role of dopamine as a reward signal. Cognitive Neurodynamics, 4, 91-105.
[PDF] [Abstract] Hazy, T.E., Frank, M.J. & O'Reilly, R.C. (2010). Neural mechanisms of acquired phasic dopamine responses in learning. Neuroscience & Biobehavioral Reviews, 34, 701-720.
[PDF] [Abstract] Chase, H.W., Frank, M.J., Michael, A., Bullmore, E.T., Sahakian, B. & Robbins, T.W. (2010). Approach and avoidance learning in patients with major depression and healthy controls: relation to anhedonia. Psychological Medicine, 40, 433-440.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Doll, B.B., Oas-Terpstra, J. & Moreno, F. (2009). Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation. Nature Neuroscience, 12, 1062-1068.
[PDF] Daw, N.D. & Frank, M.J. (2009). Reinforcement learning and higher level cognition: Introduction to special issue. Cognition, 113, 259-261.
[PDF] Frank, M.J. & Surmeier, D.J. (2009). Do substantia nigra dopaminergic neurons differentiate between reward and punishment? (Commentary on Matsumoto & Hikosaka, 2009). Journal of Molecular Cell Biology, 1, 15-16.
[email me for PDF] [Abstract] Doll, B.B. & Frank, M.J. (2009). The basal ganglia in reward and decision making: computational models and empirical studies. J. Dreher & L. Tremblay (Eds) Handbook of Reward and Decision Making, 399-425, Oxford: Academic Press.
[PDF] [Abstract] Frank, M.J. & Hutchison, K.E. (2009). Genetic contributions to avoidance-based decisions: Striatal D2 receptor polymorphisms. Neuroscience, 164, 131-140.
[PDF] Frank, M.J. (2009). Slave to the striatal habit (Commentary on Tricomi et al, 2009). European Journal of Neuroscience, 29, 2223-2224.
[PDF] [Abstract] Gruendler, T.O.J., Cavanagh, J.F., Figueroa, C.M., Frank, M.J. & Allen, J.J.B. (2009). Task-related dissociation in ERN amplitude as a function of obsessive-compulsive symptoms. Neuropsychologia, 47, 1978-1987.
[Main PDF] [Supp PDF] [Abstract] Chatham, C.H., Frank, M.J. & Munakata, Y. (2009). Pupillometric and behavioral markers of a developmental shift in the temporal dynamics of cognitive control. Proceedings of the National Academy of Sciences, 106, 5529-5533.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Riedinger, K., Meyerhofer, A., Schmidt, W. & Frank, M.J. (2009). A neurocomputational account of catalepsy sensitization induced by D2-receptor-blockade in rats: Context-dependency, extinction, and renewal. Psychopharmacology, 204, 265--277.
[PDF] [Abstract] Doll, B.B., Jacobs, W.J., Sanfey, A.G. & Frank , M.J. (2009). Instructional control of reinforcement learning: A behavioral and neurocomputational investigation. Brain Research, 1299, 74-94.
[PDF] [Abstract] Frank, M.J., Cohen, M.X. & Sanfey, A.G. (2009). Multiple systems in decision making: A neurocomputational perspective. Current Directions in Psychological Science, 18, 73--77.
[Main PDF] [Supp PDF] [Abstract] Cools, R., Frank, M.J., Gibbs, S.E., Miyakawa, A., Jagust, W. & D'Esposito, M. (2009). Striatal dopamine predicts outcome-specific reversal learning and its sensitivity to dopaminergic drug administration. Journal of Neuroscience, 29, 1538-1543.
[PDF] [Abstract] Cohen, M.X. & Frank, M.J. (2009). Neurocomputational models of basal ganglia function in learning, memory and choice. Behavioural Brain Research, 199, 141-156.
[PDF] [Abstract] Moustafa, A.A., Cohen, M.X., Sherman, S.J. & Frank, M.J. (2008). A role for dopamine in temporal decision making and reward maximization in Parkinsonism. Journal of Neuroscience, 28, 12294-12304.
[PDF] Frank, M.J. (2008). Schizophrenia: A computational reinforcement learning perspective. Schizophrenia Bulletin, 34, 1008-1011.
[PDF] [Abstract] Moustafa, A.A., Sherman, S.J. & Frank, M.J. (2008). A dopaminergic basis for working memory, learning and attentional shifting in Parkinsonism. Neuropsychologia, 46, 3144-3156.
[PDF] [Abstract] Santesso, D., Evins, A., Frank, M., Cowman, E. & Pizzagalli, D. (2009). Single dose of a dopamine agonist impairs reinforcement learning in humans: Converging evidence from electrophysiology and computational modeling of striatal-cortical function. Human Brain Mapping, 30, 1963--1976.
[PDF] [Abstract] Frank, M.J. & Kong, L. (2008). Learning to Avoid in Older Age. Psychology and Aging, 23, 392-398.
[PDF] [Abstract] Frank, M.J., O'Reilly, R. & Curran, T. (2008). Midazolam, hippocampal function, and transitive inference: Reply to Greene. Behavioral and Brain Functions, 4, 5.
[PDF] [Abstract] Pizzagalli, D.A., Evins, A.E., Schetter, E.C., Frank, M.J., Pajtas, P.E., Santesso, D.L. & Culhane, M. (2008). Single dose of a dopamine agonist impairs reinforcement learning in humans: Behavioral evidence from a laboratory-based measure of reward responsiveness. Psychopharmacology, 196, 221--232.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Samanta, J., Moustafa, A.A. & Sherman, S.J. (2007). Hold your horses: Impulsivity, deep brain stimulation and medication in Parkinsonism. Science, 318, 1309-1312. [Journal Homepage]
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Moustafa, A.A., Haughey, H., Curran, T. & Hutchison, K. (2007). Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning. Proceedings of the National Academy of Sciences, 104, 16311-16316. [Journal Homepage]
[PDF] [Abstract] Frank, M.J., D'Lauro, C. & Curran, T. (2007). Cross-task individual differences in error processing: Neural, electrophysiological and genetic components. Cognitive, Affective and Behavioral Neuroscience, 7, 297-308.
[PDF] [Abstract] Frank, M.J., Santamaria, A., O'Reilly, R. & Willcutt, E. (2007). Testing computational models of dopamine and noradrenaline dysfunction in Attention Deficit/Hyperactivity Disorder. Neuropsychopharmacology, 32, 1583-99.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Scheres, A. & Sherman, S.J. (2007). Understanding decision making deficits in neurological conditions: Insights from models of natural action selection. Philosophical Transactions of the Royal Society - B, 362, 1641-1654. [Journal Homepage]
[Main PDF] [Supp PDF] [Abstract] Hazy, T.E., Frank, M.J. & O'Reilly, R.C. (2007). Toward an executive without a homunculus: Computational models of the prefrontal cortex/basal ganglia system. Philosophical Transactions of the Royal Society - B, 362, 1601-1613. [Journal Homepage]
[Main PDF] [Commentary] [Abstract] Waltz, J.A., Frank, M.J., Robinson, B.M. & Gold, J.M. (2007). Selective reinforcement learning deficits in schizophrenia support predictions from computational models of striatal-cortical dysfunction. Biological Psychiatry, 62, 756-764.
[PDF] [Abstract] Aron, A.R., Behrens, T.E., Smith, S., Frank, M.J. & Poldrack, R.A. (2007). Triangulating a cognitive control network using diffusion-weighted MRI and functional MRI. Journal of Neuroscience, 27, 3743-52.
[PDF] [Abstract] O'Reilly, R.C., Frank, M.J., Hazy, T.E. & Watz, B. (2007). PVLV: The Primary Value and Learned Value Pavlovian learning algorithm. Behavioral Neuroscience, 121, 31-49.
[PDF] [Abstract] Frank, M.J. (2006). Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making. Neural Networks, 19, 1120-1136.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J. & O'Reilly, R.C. (2006). A mechanistic account of striatal dopamine function in human cognition: Psychopharmacological studies with cabergoline and haloperidol. Behavioral Neuroscience, 120, 497-517.
[PDF] [Abstract] Frank, M.J. & Claus, E.D. (2006). Anatomy of a decision: Striato-orbitofrontal interactions in reinforcement learning, decision making and reversal. Psychological Review, 113, 300-326.
[PDF] [Abstract] Frank, M.J., OReilly, R.C. & Curran, T. (2006). When memory fails, intuition reigns: Midazolam enhances implicit inference in humans. Psychological Science, 17, 700-707.
[PDF] [Abstract] O'Reilly, R.C. & Frank, M.J. (2006). Making working memory work: A computational model of learning in the frontal cortex and basal ganglia. Neural Computation, 18, 283-328.
[PDF] [Abstract] Hazy, T.E., Frank, M.J. & O'Reilly, R.C. (2006). Banishing the homunculus: Making working memory work. Neuroscience, 139, 105--118.
[PDF] [Abstract] Frank, M.J., Rudy, J.W., Levy, W.B. & O'Reilly, R.C. (2005). When logic fails: Implicit transitive inference in humans. Memory and Cognition, 33, 742--750.
[PDF] [Abstract] Frank, M.J. (2005). Dynamic dopamine modulation in the basal ganglia: A neurocomputational account of cognitive deficits in medicated and non-medicated Parkinsonism. Journal of Cognitive Neuroscience, 17, 51-72.
[PDF] [Abstract] Frank, M.J., Woroch, B.S. & Curran, T. (2005). Error-related negativity predicts reinforcement learning and conflict biases. Neuron, 47, 495-501.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Seeberger, L. & O'Reilly, R.C. (2004). By carrot or by stick: Cognitive reinforcement learning in Parkinsonism. Science, 306, 1940-1943.
[PDF] [Abstract] Frank, M.J. (2004). Dynamic dopamine modulation of striato-cortical circuits in cognition: Converging neuropsychological, psychopharmacological and computational studies. Phd Thesis, University of Colorado at Boulder, Boulder, CO
[PDF] [Abstract] Atallah, H.E., Frank, M.J. & O'Reilly, R.C. (2004). Hippocampus, cortex and basal ganglia: Insights from computational models of complementary learning systems. Neurobiology of Learning and Memory, 82/3, 253-67.
[PDF] [Abstract] Frank, M.J., Rudy, J.W. & O'Reilly, R.C. (2003). Transitivity, flexibility, conjunctive representations and the hippocampus: II. A computational analysis. Hippocampus, 13, 341-354.
[PDF] [Abstract] Frank, M.J., Loughry, B. & O'Reilly, R.C. (2001). Interactions between the frontal cortex and basal ganglia in working memory: A computational model. Cognitive, Affective, and Behavioral Neuroscience, 1, 137-160.

Papers Organized by Theme

(Some papers apply to multiple themes; below listings generated automatically via computer script -- Please let me know if a link is broken!)

Modeling

[PDF] [Abstract] Soni, A. & Frank, M.J. (2024). Adaptive chunking improves effective working memory capacity in a prefrontal cortex and basal ganglia circuit. eLife, 13, RP97894.
[PDF] [Abstract] Pagnier, G., Asaad, W.F. & Frank, M.J. (2024). Double dissociation of dopamine and subthalamic nucleus stimulation on effortful cost/benefit decision making. Current Biology, 34, 665-660.
[PDF] [Abstract] Jaskir, A. & Frank, M.J. (2023). On the normative advantages of dopamine and striatal opponency for learning and choice. eLife, 12, e85107.
[PDF] [Abstract] Scott, D.N. & Frank, M.J. (2023). Adaptive control of synaptic plasticity integrates micro- and macroscopic network function. Neuropsychopharmacology, 48, 121-144.
[Main PDF] [Supp PDF] [Abstract] Liu, R.G. & Frank, M.J. (2022). Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning. Artificial Intelligence, 312,.
[PDF] [Abstract] Fengler, A., Bera, K., Pedersen, M.L. & Frank, M.J. (2022). Beyond Drift Diffusion Models: Fitting a broad class of decision and RL models with HDDM. Journal of Cognitive Neuroscience, 34, 1780-1805.
[PDF] [Abstract] Moolchand, P., Jones, S.R. & Frank, M.J. (2022). Biophysical and Architectural Mechanisms of Subthalamic Theta under Response Conflict. Journal of Neuroscience, 42, 4470-4487.
[PDF] [Abstract] Calderon, C.B., Verguts, T. & Frank, M.J. (2022). Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits. PLoS Computational Biology e1009854.
[PDF] [Abstract] Hamid, A.A., Frank, M.J.*. & Moore, C.I.*. (2021). Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment. *co-senior authors; alphabetical order. Cell, 184, 2733-2749.
[PDF] [Abstract] Fengler, A., Govindarajan, L., Chen, T. & Frank, M.J. (2021). Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience. eLife, 10, e65074.
[PDF] [Abstract] Nassar, M.N., Waltz, J.A., Albrecht, M.A., Gold, J.M. & Frank, M.J. (2021). All or nothing belief updating in patients with schizophrenia reduces precision and flexibility of beliefs. Brain, 144, 1013-1029.
[PDF] [Abstract] Lehnert, L., Littman, M.L. & Frank, M.J. (2020). Reward-predictive representations generalize across tasks in reinforcement learning. PLOS Computational Biology, 16(10), e1008317.
[Main PDF] [Supp PDF] [Abstract] Westbrook, J., van den Bosch, R., Maatta, J.I., Hofmans, L., Papadopetraki, D., Cools, R.*. & Frank, M.J.*. (2020). Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work. *co-senior authors. Science, 367, 1362-1366. [Journal Homepage]
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2020). Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning. PLOS Computational Biology, 16, e1007720.
[PDF] [Abstract] Pedersen, M.L. & Frank, M.J. (2020). Simultaneous hierarchical Bayesian parameter estimation for reinforcement learning and drift diffusion models: a tutorial and links to neural data. Computational Brain & Behavior, 3, 458-471.
[PDF] [Abstract] Piray, P., Dezfouli, A., Heskes, T., Frank, M.J. & Daw, N.D. (2019). Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies. PLoS Computational Biology.
[PDF] [Abstract] Nassar, M.R., Bruckner, R. & Frank, M.J. (2019). Statistical context dictates the relationship between feedback-related EEG signals and learning. eLife, 8, e46975.
[PDF] [Abstract] Jang, A.I., Nassar, M.N., Dillon, D.G. & Frank, M.J. (2019). Positive reward prediction errors during decision making strengthen memory encoding. Nature Human Behaviour, 3,.
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2018). Compositional clustering in task structure learning. PLOS Computational Biology, 14(4), e1006116.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2018). Within- and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory. Proceedings of the National Academy of Sciences, 115, 2502-2507.
[Main PDF] [Supp PDF] [Abstract] Nassar, M.R., Helmers, J. & Frank, M.J. (2018). Chunking as a rational strategy for lossy data compression in visual working memory. Psychological Review, 125, 486-511.
[PDF] [Abstract] Swart, J.C., Frank, M.J., Maatta, J.I., Jensen, O., Cools, R. & den Ouden, H.E.M. (2018). Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action. PLoS Biology, 16, e2005959.
[PDF] [Abstract] Ritz, H., Nassar, M.R., Frank, M.J. & Shenhav, A. (2018). A control theoretic model of adaptive learning in dynamic environments. Journal of Cognitive Neuroscience, 30, 1405-1421.
[PDF] [Abstract] Swart, J.C., Frobose, M.I., Cook, J.L., Geurts, D.E.M., Frank, M.J., Cools, R. & den Ouden, H.E.M. (2017). Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action. eLife, 6:e22169,.
[PDF] [Abstract] Frank, M.J. (2016). Computational Cognitive Neuroscience Approaches to Deconstructing Mental Function and Dysfunction. A.D. Redish & J.D. Gordon (Eds) Computational Psychiatry: New Perspectives on Mental Illness. Strüngmann Forum Reports, vol. 20, J. Lupp, series editor, 101-120, Cambridge, MA: MIT Press.[Publisher] [Strüngmann Forum Reports]
[PDF] [Abstract] Kurth-Nelson, Z., O'Doherty, J.P., M., B.D., Denève, S., Durstewitz, D., Frank, M., Gordon, J., Mathew, S.J., Y., N., Ressler, K. & Tost, H. (2016). Computational Approaches for Studying Mechanisms of Psychiatric Disorders. A.D. Redish & J.D. Gordon (Eds) Computational Psychiatry: New Perspectives on Mental Illness. Strüngmann Forum Reports, vol. 20, J. Lupp, series editor, Cambridge, MA: MIT Press.[Publisher] [Strüngmann Forum Reports]
[PDF] [Abstract] Pedersen, M.L., Frank, M.J. & Biele, G. (2017). The drift diffusion model as the choice rule in reinforcement learning. Psychonomic Bulletin & Review, 24, 1234-1251.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Neural signature of hierarchically structured expectations predicts clustering and transfer of rule sets in reinforcement learning. Cognition, 152, 160-169.
[PDF] [Abstract] Nassar, M.R. & Frank, M.J. (2016). Taming the beast: extracting generalizable knowledge from computational models of cognition. Current Opinion in Behavioral Sciences, 11, 49-54.
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2015). A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning. eLife, 4:e12029,.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Motor demands constrain cognitive rule structures. PLoS Computational Biology, 12:e1004785,.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Antoniades, C.A., Stevenson, A., Kennard, C., Borowsky, B., Owen, G., Leavitt, B., Roos, R., Durr, A., Tabrizi, S.J. & Frank, M.J. (2016). A computational cognitive biomarker for early-stage Huntington's disease. PLoS ONE, 11:e0148409,.
[PDF] [Abstract] Frank, M.J., Gagne, C., Nyhus, E., Masters, S., Wiecki, T.V., Cavanagh, J.F. & Badre, D. (2015). fMRI and EEG Predictors of Dynamic Decision Parameters during Human Reinforcement Learning. Journal of Neuroscience, 35, 484-494.
[PDF] [Abstract] Frank, M.J. (2015). Linking across levels of computation in model-based cognitive neuroscience. B.U. Forstmann & E. Wagenmakers (Eds) An Introduction to Model-Based Cognitive Neuroscience, 163-181, New York: Springer.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Poland, J.S. & Frank, M.J. (2015). Model-based cognitive neuroscience approaches to computational psychiatry: clustering and classification. Clinical Psychological Science, 3, 378-399.
[PDF] [Abstract] Collins, A.G.E., Brown., J., Gold, J., Waltz, J. & Frank, M.J. (2014). Working memory contributions to reinforcement learning in schizophrenia. Journal of Neuroscience, 34, 13747-13756.
[Main PDF] [Supp PDF] [Abstract] Cockburn, J., Collins, A.G.E. & Frank, M.J. (2014). A reinforcement learning mechanism responsible for the valuation of free choice. Neuron, 83, 551-557.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2014). Opponent Actor Learning (OpAL): modeling interactive effects of striatal dopamine on reinforcement learning and choice incentive. Psychological Review, 121, 337-366.
[PDF] [Abstract] Cavanagh, J.F., Wiecki, T.V., Kochar, A. & Frank, M.J. (2014). Eye tracking and pupillometry are indicators of dissociable latent decision processes. Journal of Experimental Psychology: General, 143, 1476-1488.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Sofer, I. & Frank, M.J. (2013). HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python. Frontiers of Neuroinformatics, 7, 1-10.
[PDF] [Abstract] Cavanagh, J.F., Eisenberg, I., Guitart-Masip, M., Huys, Q. & Frank, M.J. (2013). Frontal theta overrides Pavlovian learning biases. Journal of Neuroscience, 33, 8541-8548.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2013). Cognitive control over learning: Creating, clustering and generalizing task-set structure. Psychological Review, 120, 190-229.
[PDF] [Abstract] Wiecki, T.V. & Frank, M.J. (2013). A computational model of inhibitory control in frontal cortex and basal ganglia. Psychological Review, 120, 329-355.
[PDF] [Abstract] Beeler, J.A., Frank, M.J., McDaid, J., Alexander, E., Turkson, S., Sol Bernandez, M., McGehee, D. & Zhuang, X. (2012). A role for dopamine-mediated learning in the pathophysiology and treatment of Parkinson's Disease. Cell Reports, 2, 1747-1761.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2012). How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis. European Journal of Neuroscience, 35, 1024-1035.
[PDF] [Abstract] Cavanagh, J.F., Figueroa, C.M., Cohen, M.X. & Frank, M.J. (2012). Frontal theta reflects uncertainty and unexpectedness during exploration and exploitation. Cerebral Cortex 2575-86.
[Main PDF] [Supp PDF] [Abstract] Badre, D., Doll, B.B., Long, N.M. & Frank, M.J. (2012). Rostrolateral prefrontal cortex and individual differences in uncertainty-driven exploration. Neuron, 73, 595-607.
[Main PDF] [Supp PDF] [Abstract] Gold, J.M., Waltz, J.A., Matveeva, T.M., Kasanova, Z., Strauss, G.P., Herbener, E.S., Collins, A.G.E. & Frank, M.J. (2012). Negative symptoms and the failure to represent the expected reward value of actions: Behavioral and computational modeling evidence. Archives of General Psychiatry, 69, 129-138.
[Main PDF] [Supp PDF] [Abstract] Cavanagh, J.F., Wiecki, T.V., Cohen, M.X., Figueroa, C.M., Samanta, J., Sherman, S.J. & Frank, M.J. (2011). Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold. Nature Neuroscience, 14, 1462-1467.
[PDF] [Abstract] Ratcliff, R. & Frank, M.J. (2012). Reinforcement-based decision making in corticostriatal circuits: Mutual constraints by neurocomputational and diffusion models. Neural Computation, 24, 1186-1229.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J. & Badre, D. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: Computational analysis. Cerebral Cortex, 22, 509-526.
[PDF] [Abstract] Cockburn, J. & Frank, M.J. (2011). Reinforcement learning, conflict monitoring, and cognitive control: An integrative model of cingulate-striatal interactions and the ERN. R. Mars, J. Sallet, M. Rushworth & N. Yeung (Eds) Neural Basis of Motivational and Cognitive Control, 311-331, Cambridge: The MIT Press.
[PDF] [Abstract] Wiecki, T.V. & Frank, M.J. (2010). Neurocomputational models of motor and cognitive deficits in Parkinson's disease. Progress in Brain Research, 183, 275-297.
[PDF] [Abstract] Samson, R.D., Frank, M.J. & Fellous, J. (2010). Computational models of reinforcement learning: the role of dopamine as a reward signal. Cognitive Neurodynamics, 4, 91-105.
[PDF] [Abstract] Hazy, T.E., Frank, M.J. & O'Reilly, R.C. (2010). Neural mechanisms of acquired phasic dopamine responses in learning. Neuroscience & Biobehavioral Reviews, 34, 701-720.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Doll, B.B., Oas-Terpstra, J. & Moreno, F. (2009). Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation. Nature Neuroscience, 12, 1062-1068.
[email me for PDF] [Abstract] Doll, B.B. & Frank, M.J. (2009). The basal ganglia in reward and decision making: computational models and empirical studies. J. Dreher & L. Tremblay (Eds) Handbook of Reward and Decision Making, 399-425, Oxford: Academic Press.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Riedinger, K., Meyerhofer, A., Schmidt, W. & Frank, M.J. (2009). A neurocomputational account of catalepsy sensitization induced by D2-receptor-blockade in rats: Context-dependency, extinction, and renewal. Psychopharmacology, 204, 265--277.
[PDF] [Abstract] Doll, B.B., Jacobs, W.J., Sanfey, A.G. & Frank , M.J. (2009). Instructional control of reinforcement learning: A behavioral and neurocomputational investigation. Brain Research, 1299, 74-94.
[PDF] [Abstract] Cohen, M.X. & Frank, M.J. (2009). Neurocomputational models of basal ganglia function in learning, memory and choice. Behavioural Brain Research, 199, 141-156.
[PDF] [Abstract] Moustafa, A.A., Cohen, M.X., Sherman, S.J. & Frank, M.J. (2008). A role for dopamine in temporal decision making and reward maximization in Parkinsonism. Journal of Neuroscience, 28, 12294-12304.
[PDF] [Abstract] Santesso, D., Evins, A., Frank, M., Cowman, E. & Pizzagalli, D. (2009). Single dose of a dopamine agonist impairs reinforcement learning in humans: Converging evidence from electrophysiology and computational modeling of striatal-cortical function. Human Brain Mapping, 30, 1963--1976.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Samanta, J., Moustafa, A.A. & Sherman, S.J. (2007). Hold your horses: Impulsivity, deep brain stimulation and medication in Parkinsonism. Science, 318, 1309-1312. [Journal Homepage]
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Moustafa, A.A., Haughey, H., Curran, T. & Hutchison, K. (2007). Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning. Proceedings of the National Academy of Sciences, 104, 16311-16316. [Journal Homepage]
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Scheres, A. & Sherman, S.J. (2007). Understanding decision making deficits in neurological conditions: Insights from models of natural action selection. Philosophical Transactions of the Royal Society - B, 362, 1641-1654. [Journal Homepage]
[Main PDF] [Supp PDF] [Abstract] Hazy, T.E., Frank, M.J. & O'Reilly, R.C. (2007). Toward an executive without a homunculus: Computational models of the prefrontal cortex/basal ganglia system. Philosophical Transactions of the Royal Society - B, 362, 1601-1613. [Journal Homepage]
[PDF] [Abstract] O'Reilly, R.C., Frank, M.J., Hazy, T.E. & Watz, B. (2007). PVLV: The Primary Value and Learned Value Pavlovian learning algorithm. Behavioral Neuroscience, 121, 31-49.
[PDF] [Abstract] Frank, M.J. (2006). Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making. Neural Networks, 19, 1120-1136.
[PDF] [Abstract] Frank, M.J. & Claus, E.D. (2006). Anatomy of a decision: Striato-orbitofrontal interactions in reinforcement learning, decision making and reversal. Psychological Review, 113, 300-326.
[PDF] [Abstract] O'Reilly, R.C. & Frank, M.J. (2006). Making working memory work: A computational model of learning in the frontal cortex and basal ganglia. Neural Computation, 18, 283-328.
[PDF] [Abstract] Hazy, T.E., Frank, M.J. & O'Reilly, R.C. (2006). Banishing the homunculus: Making working memory work. Neuroscience, 139, 105--118.
[PDF] [Abstract] Frank, M.J. (2005). Dynamic dopamine modulation in the basal ganglia: A neurocomputational account of cognitive deficits in medicated and non-medicated Parkinsonism. Journal of Cognitive Neuroscience, 17, 51-72.
[PDF] [Abstract] Atallah, H.E., Frank, M.J. & O'Reilly, R.C. (2004). Hippocampus, cortex and basal ganglia: Insights from computational models of complementary learning systems. Neurobiology of Learning and Memory, 82/3, 253-67.
[PDF] [Abstract] Frank, M.J., Rudy, J.W. & O'Reilly, R.C. (2003). Transitivity, flexibility, conjunctive representations and the hippocampus: II. A computational analysis. Hippocampus, 13, 341-354.
[PDF] [Abstract] Frank, M.J., Loughry, B. & O'Reilly, R.C. (2001). Interactions between the frontal cortex and basal ganglia in working memory: A computational model. Cognitive, Affective, and Behavioral Neuroscience, 1, 137-160.

Empirical

[PDF] [Abstract] Lamba, A., Frank, M.J. & FeldmanHall, O. (2024). Keeping an eye out for change: Anxiety disrupts adaptive resolution of policy uncertainty. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
[PDF] [Abstract] Hitchcock, P.F. & Frank, M.J. (2024). The Challenge of Learning Adaptive Mental Behavior. Journal of Psychopathology and Clinical Science, 33, 413-426.
[PDF] [Abstract] Ging-Jehli, N.R.*., Kuhn, M.*., Blank, J.M., Chanthrakumar, P., Steinberger, D.C., Yu, Z., Herrington, T.M., Dillon, D.G., Pizzagalli, D.A. & Frank, M.J. (2024). Cognitive signatures of depressive and anhedonic symptoms, and affective states, using computational modeling and neurocognitive testing. *co-first authors. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging , 9, 727-737.
[PDF] [Abstract] Pagnier, G., Asaad, W.F. & Frank, M.J. (2024). Double dissociation of dopamine and subthalamic nucleus stimulation on effortful cost/benefit decision making. Current Biology, 34, 665-660.
[PDF] [Abstract] Rac-Lubashevsky, R., Cremer, A., Collins, A.G.E., Frank, M.J.*. & Schwabe, L.*. (2023). Neural index of reinforcement learning predicts improved stimulus-response retention under high working memory load. *co-senior authors; alphabetical order. Journal of Neuroscience, 43(17), 3131-3143.
[PDF] [Abstract] Brown, V.M., Hallquist, M.N., Frank, M.J. & Dombrovski, A.Y. (2022). Humans adaptively resolve the explore-exploit dilemma under cognitive constraints: Evidence from a multi-armed bandit task. Cognition, 229,.
[PDF] [Abstract] Hamid, A.A., Frank, M.J.*. & Moore, C.I.*. (2021). Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment. *co-senior authors; alphabetical order. Cell, 184, 2733-2749.
[PDF] [Abstract] Rac-Lubashevsky, R. & Frank, M.J. (2021). Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence. PLoS Computational Biology, 17, e1008971.
[Main PDF] [Supp PDF] [Abstract] Westbrook, J., van den Bosch, R., Maatta, J.I., Hofmans, L., Papadopetraki, D., Cools, R.*. & Frank, M.J.*. (2020). Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work. *co-senior authors. Science, 367, 1362-1366. [Journal Homepage]
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2020). Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning. PLOS Computational Biology, 16, e1007720.
[PDF] [Abstract] Lamba, A., Frank, M.J. & FeldmanHall, O. (2020). Anxiety impedes adaptive social learning under uncertainty. Psychological Science, 31, 592-603.
[PDF] [Abstract] Nassar, M.R., Bruckner, R. & Frank, M.J. (2019). Statistical context dictates the relationship between feedback-related EEG signals and learning. eLife, 8, e46975.
[PDF] [Abstract] Frey, A., Frank, M.J. & McCabe, C. (2019). Social reinforcement learning as a predictor of real-life experiences in individuals with high and low depressive symptomatology. Psychological Medicine.
[PDF] [Abstract] Ironside, M., Amemori, K., McGrath, C.L., Pedersen, M.L., Su Kang, M., Amemori, S., Frank, M.J., Graybiel, A.M. & Pizzagalli, D.A. (2020). Approach-avoidance conflict in major depression: Congruent neural findings in human and non-human primates. Biological Psychiatry, 87, 399-408.
[PDF] [Abstract] Jang, A.I., Nassar, M.N., Dillon, D.G. & Frank, M.J. (2019). Positive reward prediction errors during decision making strengthen memory encoding. Nature Human Behaviour, 3,.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2018). Within- and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory. Proceedings of the National Academy of Sciences, 115, 2502-2507.
[Main PDF] [Supp PDF] [Abstract] Nassar, M.R., Helmers, J. & Frank, M.J. (2018). Chunking as a rational strategy for lossy data compression in visual working memory. Psychological Review, 125, 486-511.
[PDF] [Abstract] Cavanagh, J.F., Bismark, A., Frank, M.J. & Allen, J.J.B. (2018). Multiple Dissociations between Comorbid Depression and Anxiety on Reward and Punishment Processing: Evidence from Computationally Informed EEG. Computational Psychiatry, 1, 1-17.
[PDF] [Abstract] Swart, J.C., Frank, M.J., Maatta, J.I., Jensen, O., Cools, R. & den Ouden, H.E.M. (2018). Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action. PLoS Biology, 16, e2005959.
[PDF] [Abstract] Patel, S.R., Herrington, T., Sheth, S.A., Mian, M., Bick, S.K., Yang, J.C., Flaherty, A.W., Frank, M.J., Widge, A.S., Dougherty, D. & Eskandar, E.N. (2018). Intermittent subthalamic nucleus deep brain stimulation induces risk-aversive behavior in human subjects. eLife, 7, e36460.
[PDF] [Abstract] Ritz, H., Nassar, M.R., Frank, M.J. & Shenhav, A. (2018). A control theoretic model of adaptive learning in dynamic environments. Journal of Cognitive Neuroscience, 30, 1405-1421.
[PDF] [Abstract] Jahfari, S., Ridderinkhof, K.R., Collins, A.G.E., Knapen, T., Waldorp, L. & Frank, M.J. (2019). Cross-task contributions of frontobasal ganglia circuitry in response inhibition and conflict-induced slowing. Cerebral Cortex, 29, 1969-1983.
[PDF] [Abstract] Hernaus, D., Gold, J.M., Waltz, J.A. & Frank, M.J. (2018). Impaired expected value computations coupled with overreliance on stimulus-response learning in schizophrenia. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
[PDF] [Abstract] Waltz, J.A., Xu, Z., Brown, E.C., Ruiz, R.R., Frank, M.J. & Gold, J.M. (2018). Motivational deficits in schizophrenia are associated with reduced differentiation between gain and loss-avoidance feedback in the striatum. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3, 239-247.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E., Albrecht, M., Waltz, J.A., Gold, J.M. & Frank, M.J. (2017). Interactions between working memory, reinforcement learning and effort in value-based choice: A new paradigm and selective deficits in schizophrenia. Biological Psychiatry, 82, 431-439.
[PDF] [Abstract] Collins, A.G.E., Ciullo, B., Frank, M.J. & Badre, D. (2017). Working memory load strengthens reward prediction errors. Journal of Neuroscience, 37, 4332-4342.
[PDF] [Abstract] Swart, J.C., Frobose, M.I., Cook, J.L., Geurts, D.E.M., Frank, M.J., Cools, R. & den Ouden, H.E.M. (2017). Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action. eLife, 6:e22169,.
[PDF] [Abstract] Kasanova, Z., Ceccarini, J., Frank, M.J., van Amelsvoort, T., Booij, J., Heinzel, A., Mottaghy, F. & Myin-Germeys, I. (2017). Striatal dopaminergic modulation of reinforcement learning predicts reward-oriented behavior in daily life. Biological Psychology, 127, 1-9.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Neural signature of hierarchically structured expectations predicts clustering and transfer of rule sets in reinforcement learning. Cognition, 152, 160-169.
[PDF] [Abstract] Werchan, D.M., Collins, A.G.E., Frank, M.J. & Amso, D. (2016). Role of Prefrontal Cortex in Learning and Generalizing Hierarchical Rules in 8-Month-Old Infants. Journal of Neuroscience, 36, 10314-10322.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Motor demands constrain cognitive rule structures. PLoS Computational Biology, 12:e1004785,.
[PDF] [Abstract] Doll, B.B., Bath, K.G., Daw, N.D. & Frank, M.J. (2016). Variability in dopamine genes dissociates model-based and model-free reinforcement learning. Journal of Neuroscience, 36, 1211-1222.
[PDF] [Abstract] Gold, J.M., Waltz, J.W. & Frank, M.J. (2015). Effort cost computation in schizophrenia: A commentary on the recent literature. Biological Psychiatry, 78, 747-753.
[PDF] [Abstract] Morris, L., Baek, K., Kundu, P., Harrison, N.A., Frank, M.J. & Voon, V. (2016). Biases in the Explore-Exploit Tradeoff in Addictions: the Role of Avoidance of Uncertainty. Neuropsychopharmacology, 41, 940-948.
[PDF] [Abstract] Werchan, D.M., Collins, A.G.E., Frank, M.J. & Amso, D. (2015). 8-Month-Old Infants Spontaneously Learn and Generalize Hierarchical Rules. Psychological Science, 26, 805-815.
[PDF] [Abstract] Slagter, H.A., Georgopoulou, K. & Frank, M.J. (2015). Spontaneous eye blink rate predicts learning from negative, but not positive, outcomes. Neuropsychologia, 71, 126-132.
[PDF] [Abstract] Frank, M.J., Gagne, C., Nyhus, E., Masters, S., Wiecki, T.V., Cavanagh, J.F. & Badre, D. (2015). fMRI and EEG Predictors of Dynamic Decision Parameters during Human Reinforcement Learning. Journal of Neuroscience, 35, 484-494.
[PDF] [Abstract] Cox, S.M.L., Frank, M.J., Larcher, K., Fellows, L.K., Clark, C.A., Leyton, M. & Dagher, A. (2015). Striatal D1 and D2 signaling differentially predict learning from positive and negative outcomes. NeuroImage, 109, 95-101.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Poland, J.S. & Frank, M.J. (2015). Model-based cognitive neuroscience approaches to computational psychiatry: clustering and classification. Clinical Psychological Science, 3, 378-399.
[PDF] [Abstract] Cavanagh, J.F., Masters, S.E., Bath, K. & Frank, M.J. (2014). Conflict acts as an implicit cost in reinforcement learning. Nature Communications, 5:5394,.
[PDF] [Abstract] Collins, A.G.E., Brown., J., Gold, J., Waltz, J. & Frank, M.J. (2014). Working memory contributions to reinforcement learning in schizophrenia. Journal of Neuroscience, 34, 13747-13756.
[Main PDF] [Supp PDF] [Abstract] Cockburn, J., Collins, A.G.E. & Frank, M.J. (2014). A reinforcement learning mechanism responsible for the valuation of free choice. Neuron, 83, 551-557.
[PDF] [Abstract] Solomon, M., Frank, M.J., Ragland, J.D., Smith, A.C., Niendam, T.A., Lesh, T.A., Grayson, D.S., Beck, J.S., Matter, J. & Carter, C.S. (2015). Feedback-driven trial-by-trial learning in autism spectrum disorders. American Journal of Psychiatry, 172, 173-181.
[PDF] [Abstract] Kayser, A., Mitchell, J.M., Weinstein, D. & Frank, M.J. (2015). Dopamine, locus of control, and the exploration-exploitation tradeoff. Neuropsychopharmacology, 40, 454-462.
[PDF] [Abstract] Collins, A.G.E., Cavanagh, J.F. & Frank, M.J. (2014). Human EEG uncovers latent generalizable task-set structure during learning. Journal of Neuroscience, 34, 4677-4685.
[PDF] [Abstract] Cavanagh, J.F., Sanguinetti, J.L., Allen, J.J.B., Sherman, S.J. & Frank, M.J. (2014). The subthalamic nucleus contributes to post-error slowing. Journal of Cognitive Neuroscience, 26, 2637-2644.
[PDF] [Abstract] Cavanagh, J.F., Wiecki, T.V., Kochar, A. & Frank, M.J. (2014). Eye tracking and pupillometry are indicators of dissociable latent decision processes. Journal of Experimental Psychology: General, 143, 1476-1488.
[PDF] [Abstract] Doll, B.B., Waltz, J.A., Cockburn, J., K., B.J., Frank, M.J. & Gold, J.M. (2014). Reduced susceptibility to confirmation bias in schizophrenia. Cognitive, Affective and Behavioral Neuroscience, 14, 715-728.
[PDF] [Abstract] Narayanan, S.N., Cavanagh, J.F., Frank, M.J. & Laubach, M. (2013). Common medial frontal mechanisms of adaptive control in humans and rodents. Nature Neuroscience, 16, 1888-95.
[PDF] [Abstract] Cavanagh, J.F., Eisenberg, I., Guitart-Masip, M., Huys, Q. & Frank, M.J. (2013). Frontal theta overrides Pavlovian learning biases. Journal of Neuroscience, 33, 8541-8548.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2013). Cognitive control over learning: Creating, clustering and generalizing task-set structure. Psychological Review, 120, 190-229.
[PDF] [Abstract] Beeler, J.A., Frank, M.J., McDaid, J., Alexander, E., Turkson, S., Sol Bernandez, M., McGehee, D. & Zhuang, X. (2012). A role for dopamine-mediated learning in the pathophysiology and treatment of Parkinson's Disease. Cell Reports, 2, 1747-1761.
[PDF] [Abstract] Gold, J.M., Strauss, G.P., Waltz, J.A., Robinson, B.M., Brown, J.K. & Frank, M.J. (2013). Negative symptoms of schizophrenia are associated with abnormal effort-cost computations. Biological Psychiatry, 74, 130-136.
[Main PDF] [Supp PDF] [Abstract] Gold, J.M., Waltz, J.A., Matveeva, T.M., Kasanova, Z., Strauss, G.P., Herbener, E.S., Collins, A.G.E. & Frank, M.J. (2012). Negative symptoms and the failure to represent the expected reward value of actions: Behavioral and computational modeling evidence. Archives of General Psychiatry, 69, 129-138.
[PDF] [Abstract] Jahfari, S., Verbruggen, F., Frank, M., Waldorp, L., Colzato, L., Ridderinkhof, K. & Forstmann, B. (2012). How preparation changes the need for top-down control of the basal ganglia when inhibiting premature actions. Journal of Neuroscience, 32, 10870-8.
[PDF] [Abstract] Badre, D. & Frank, M.J. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 2: Evidence from fMRI. Cerebral Cortex, 22, 527-536.
[PDF] [Abstract] Doll, B.B., Hutchison, K.E. & Frank, M.J. (2011). Dopaminergic genes predict individual differences in susceptibility to confirmation bias. Journal of Neuroscience 6188-6198.
[PDF] [Abstract] Cavanagh, J.F., Bismark, A.J., Frank, M.J. & Allen, J.J.B. (2011). Larger error signals in major depression are associated with better avoidance learning. Frontiers in Psychology | Cognition, 2,.
[PDF] [Abstract] Strauss, G.P., Frank, M.J., Waltz, J.A., Kasanova, Z., Herbener, E.S. & Gold, J.M. (2011). Deficits in positive reinforcement learning and uncertainty-driven exploration are associated with distinct aspects of negative symptoms in schizophrenia. Biological Psychiatry, 69, 424-431.
[PDF] [Abstract] Cavanagh, J.F., Frank, M.J. & Allen, J.J.B. (2011). Social stress reactivity alters reward and punishment learning. Social Cognitive & Affective Neuroscience, 6, 311-320.
[PDF] [Abstract] Solomon, M., Frank, M.J., Smith, A.C., Ly, S. & Carter, C. (2011). Transitive inference in adults with autism spectrum disorders. Cognitive, Affective and Behavioral Neuroscience.
[PDF] [Abstract] Kasanova, Z., Waltz, J.A., Strauss, G.P., Frank, M.J. & Gold, J.M. (2011). Optimizing vs matching: Response strategy in a probabilistic learning task is associated with negative symptoms of schizophrenia. Schizophrenia Research, 127, 215-222.
[PDF] [Abstract] Waltz, J.A., Frank, M.J., Wiecki, T.V. & Gold, J.M. (2011). Altered probabilistic learning and response biases in schizophrenia: Behavioral evidence and neurocomputational modeling. Neuropsychology, 25,.
[PDF] [Abstract] Cavanagh, J.F., Frank, M.J., Klein, T.J. & Allen, J.J.B. (2010). Frontal theta links prediction errors to behavioral adaptation in reinforcement learning. NeuroImage, 49, 3198-3209.
[PDF] [Abstract] Cavanagh, J.F., Grundler, T.O.J., Frank, M.J. & Allen, J.J.B. (2010). Altered cingulate sub-region activation accounts for task-related dissociation in ERN amplitude as a function of obsessive-compulsive symptoms. Neuropsychologia, 48, 2098-2109.
[PDF] [Abstract] Robinson, O.J., Frank, M.J., Sahakian, B.J. & Cools, C. (2010). Dissociable responses to punishment in distinct striatal regions during reversal learning. NeuroImage 1459-1467.
[PDF] [Abstract] Strauss, G.P., Robinson, B.M., Waltz, J.A., Frank, M.J., Kasanova, Z., Herbener, E.S. & Gold, J.M. (2011). Patients with schizophrenia demonstrate inconsistent preference judgments for affective and nonaffective stimuli. Schizophrenia Bulletin, 37, 1295-1304.
[PDF] [Abstract] Chase, H.W., Frank, M.J., Michael, A., Bullmore, E.T., Sahakian, B. & Robbins, T.W. (2010). Approach and avoidance learning in patients with major depression and healthy controls: relation to anhedonia. Psychological Medicine, 40, 433-440.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Doll, B.B., Oas-Terpstra, J. & Moreno, F. (2009). Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation. Nature Neuroscience, 12, 1062-1068.
[PDF] [Abstract] Frank, M.J. & Hutchison, K.E. (2009). Genetic contributions to avoidance-based decisions: Striatal D2 receptor polymorphisms. Neuroscience, 164, 131-140.
[PDF] [Abstract] Gruendler, T.O.J., Cavanagh, J.F., Figueroa, C.M., Frank, M.J. & Allen, J.J.B. (2009). Task-related dissociation in ERN amplitude as a function of obsessive-compulsive symptoms. Neuropsychologia, 47, 1978-1987.
[Main PDF] [Supp PDF] [Abstract] Chatham, C.H., Frank, M.J. & Munakata, Y. (2009). Pupillometric and behavioral markers of a developmental shift in the temporal dynamics of cognitive control. Proceedings of the National Academy of Sciences, 106, 5529-5533.
[PDF] [Abstract] Doll, B.B., Jacobs, W.J., Sanfey, A.G. & Frank , M.J. (2009). Instructional control of reinforcement learning: A behavioral and neurocomputational investigation. Brain Research, 1299, 74-94.
[Main PDF] [Supp PDF] [Abstract] Cools, R., Frank, M.J., Gibbs, S.E., Miyakawa, A., Jagust, W. & D'Esposito, M. (2009). Striatal dopamine predicts outcome-specific reversal learning and its sensitivity to dopaminergic drug administration. Journal of Neuroscience, 29, 1538-1543.
[PDF] [Abstract] Moustafa, A.A., Cohen, M.X., Sherman, S.J. & Frank, M.J. (2008). A role for dopamine in temporal decision making and reward maximization in Parkinsonism. Journal of Neuroscience, 28, 12294-12304.
[PDF] [Abstract] Moustafa, A.A., Sherman, S.J. & Frank, M.J. (2008). A dopaminergic basis for working memory, learning and attentional shifting in Parkinsonism. Neuropsychologia, 46, 3144-3156.
[PDF] [Abstract] Santesso, D., Evins, A., Frank, M., Cowman, E. & Pizzagalli, D. (2009). Single dose of a dopamine agonist impairs reinforcement learning in humans: Converging evidence from electrophysiology and computational modeling of striatal-cortical function. Human Brain Mapping, 30, 1963--1976.
[PDF] [Abstract] Frank, M.J. & Kong, L. (2008). Learning to Avoid in Older Age. Psychology and Aging, 23, 392-398.
[PDF] [Abstract] Pizzagalli, D.A., Evins, A.E., Schetter, E.C., Frank, M.J., Pajtas, P.E., Santesso, D.L. & Culhane, M. (2008). Single dose of a dopamine agonist impairs reinforcement learning in humans: Behavioral evidence from a laboratory-based measure of reward responsiveness. Psychopharmacology, 196, 221--232.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Samanta, J., Moustafa, A.A. & Sherman, S.J. (2007). Hold your horses: Impulsivity, deep brain stimulation and medication in Parkinsonism. Science, 318, 1309-1312. [Journal Homepage]
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Moustafa, A.A., Haughey, H., Curran, T. & Hutchison, K. (2007). Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning. Proceedings of the National Academy of Sciences, 104, 16311-16316. [Journal Homepage]
[PDF] [Abstract] Frank, M.J., D'Lauro, C. & Curran, T. (2007). Cross-task individual differences in error processing: Neural, electrophysiological and genetic components. Cognitive, Affective and Behavioral Neuroscience, 7, 297-308.
[PDF] [Abstract] Frank, M.J., Santamaria, A., O'Reilly, R. & Willcutt, E. (2007). Testing computational models of dopamine and noradrenaline dysfunction in Attention Deficit/Hyperactivity Disorder. Neuropsychopharmacology, 32, 1583-99.
[Main PDF] [Commentary] [Abstract] Waltz, J.A., Frank, M.J., Robinson, B.M. & Gold, J.M. (2007). Selective reinforcement learning deficits in schizophrenia support predictions from computational models of striatal-cortical dysfunction. Biological Psychiatry, 62, 756-764.
[PDF] [Abstract] Aron, A.R., Behrens, T.E., Smith, S., Frank, M.J. & Poldrack, R.A. (2007). Triangulating a cognitive control network using diffusion-weighted MRI and functional MRI. Journal of Neuroscience, 27, 3743-52.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J. & O'Reilly, R.C. (2006). A mechanistic account of striatal dopamine function in human cognition: Psychopharmacological studies with cabergoline and haloperidol. Behavioral Neuroscience, 120, 497-517.
[PDF] [Abstract] Frank, M.J., OReilly, R.C. & Curran, T. (2006). When memory fails, intuition reigns: Midazolam enhances implicit inference in humans. Psychological Science, 17, 700-707.
[PDF] [Abstract] Frank, M.J., Rudy, J.W., Levy, W.B. & O'Reilly, R.C. (2005). When logic fails: Implicit transitive inference in humans. Memory and Cognition, 33, 742--750.
[PDF] [Abstract] Frank, M.J., Woroch, B.S. & Curran, T. (2005). Error-related negativity predicts reinforcement learning and conflict biases. Neuron, 47, 495-501.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Seeberger, L. & O'Reilly, R.C. (2004). By carrot or by stick: Cognitive reinforcement learning in Parkinsonism. Science, 306, 1940-1943.

Computational Psychiatry and Neurology

[PDF] [Abstract] Herz, D.M., Frank, M.J., Tan, H. & Groppa, S. (2024). Subthalamic control of impulsive actions: insights from deep brain stimulation in Parkinson's disease. Brain.
[PDF] [Abstract] Lamba, A., Frank, M.J. & FeldmanHall, O. (2024). Keeping an eye out for change: Anxiety disrupts adaptive resolution of policy uncertainty. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
[PDF] [Abstract] Hitchcock, P.F. & Frank, M.J. (2024). The Challenge of Learning Adaptive Mental Behavior. Journal of Psychopathology and Clinical Science, 33, 413-426.
[PDF] [Abstract] Monosov, I.E., Zimmermann, J., Frank, M.J., Mathis, M.W. & Baker, J.T. (2024). Ethological computational psychiatry: Challenges and opportunities. Current Opinion in Neurobiology, 86:102881,.
[PDF] [Abstract] Ging-Jehli, N.R.*., Kuhn, M.*., Blank, J.M., Chanthrakumar, P., Steinberger, D.C., Yu, Z., Herrington, T.M., Dillon, D.G., Pizzagalli, D.A. & Frank, M.J. (2024). Cognitive signatures of depressive and anhedonic symptoms, and affective states, using computational modeling and neurocognitive testing. *co-first authors. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging , 9, 727-737.
[PDF] [Abstract] Pagnier, G., Asaad, W.F. & Frank, M.J. (2024). Double dissociation of dopamine and subthalamic nucleus stimulation on effortful cost/benefit decision making. Current Biology, 34, 665-660.
[PDF] [Abstract] Hitchcock, P.F. & Frank, M.J. (2024). From tripping and falling to ruminating and worrying: a meta-control account of repetitive negative thinking. Current Opinion in Behavioral Sciences, 56: 101356,.
[PDF] [Abstract] Hitchcock, P.F., Fried, E.I. & Frank, M.J. (2022). Computational psychiatry needs time and context. Annual Reviews of Psychology, 73, 243-270.
[Main PDF] [Supp PDF] [Abstract] Pedersen, M.L., Ironside, M., Amemori, K., McGrath, C.M., Kang, M.S., Graybiel, A.M., Pizzagalli, D.A. & Frank, M.J. (2021). Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder. PLoS Computational Biology, 17(5),.
[PDF] [Abstract] Geana, A., Barch, D.M., Gold, J.M., Carter, C.S., MacDonald, A.W., Ragland, J.D., Silverstein, S.M. & Frank, M.J. (2021). Using computational modelling to capture schizophrenia-specific reinforcement learning differences and their implications on patient classification. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7, 1035-1046.
[PDF] [Abstract] Nassar, M.N., Waltz, J.A., Albrecht, M.A., Gold, J.M. & Frank, M.J. (2021). All or nothing belief updating in patients with schizophrenia reduces precision and flexibility of beliefs. Brain, 144, 1013-1029.
[PDF] [Abstract] Huys, Q.J.M., Browning, M., Paulus, M. & Frank, M.J. (2021). Advances in the computational understanding of mental illness. Neuropsychopharmacology Reviews, 46, 3-19.
[PDF] [Abstract] Lamba, A., Frank, M.J. & FeldmanHall, O. (2020). Anxiety impedes adaptive social learning under uncertainty. Psychological Science, 31, 592-603.
[PDF] [Abstract] Frey, A., Frank, M.J. & McCabe, C. (2019). Social reinforcement learning as a predictor of real-life experiences in individuals with high and low depressive symptomatology. Psychological Medicine.
[PDF] [Abstract] Ironside, M., Amemori, K., McGrath, C.L., Pedersen, M.L., Su Kang, M., Amemori, S., Frank, M.J., Graybiel, A.M. & Pizzagalli, D.A. (2020). Approach-avoidance conflict in major depression: Congruent neural findings in human and non-human primates. Biological Psychiatry, 87, 399-408.
[Main PDF] [Supp PDF] [Abstract] Lawlor, V.M., Webb, C.A., Wiecki, T.V., Frank, M.J., Trivedi, M., Pizzagalli, D.A. & Dillon, D.G. (2019). Dissecting the impact of depression on decision-making. Psychological Medicine.
[PDF] [Abstract] Cavanagh, J.F., Bismark, A., Frank, M.J. & Allen, J.J.B. (2018). Multiple Dissociations between Comorbid Depression and Anxiety on Reward and Punishment Processing: Evidence from Computationally Informed EEG. Computational Psychiatry, 1, 1-17.
[PDF] [Abstract] Patel, S.R., Herrington, T., Sheth, S.A., Mian, M., Bick, S.K., Yang, J.C., Flaherty, A.W., Frank, M.J., Widge, A.S., Dougherty, D. & Eskandar, E.N. (2018). Intermittent subthalamic nucleus deep brain stimulation induces risk-aversive behavior in human subjects. eLife, 7, e36460.
[PDF] [Abstract] Hernaus, D., Gold, J.M., Waltz, J.A. & Frank, M.J. (2018). Impaired expected value computations coupled with overreliance on stimulus-response learning in schizophrenia. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
[PDF] [Abstract] Waltz, J.A., Xu, Z., Brown, E.C., Ruiz, R.R., Frank, M.J. & Gold, J.M. (2018). Motivational deficits in schizophrenia are associated with reduced differentiation between gain and loss-avoidance feedback in the striatum. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3, 239-247.
[PDF] [Abstract] Maia, T.V., Huys, Q.J.M. & Frank, M.J. (2017). Theory-based computational psychiatry. Biological Psychiatry, 82, 382-384.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E., Albrecht, M., Waltz, J.A., Gold, J.M. & Frank, M.J. (2017). Interactions between working memory, reinforcement learning and effort in value-based choice: A new paradigm and selective deficits in schizophrenia. Biological Psychiatry, 82, 431-439.
[PDF] [Abstract] Frank, M.J. (2016). Computational Cognitive Neuroscience Approaches to Deconstructing Mental Function and Dysfunction. A.D. Redish & J.D. Gordon (Eds) Computational Psychiatry: New Perspectives on Mental Illness. Strüngmann Forum Reports, vol. 20, J. Lupp, series editor, 101-120, Cambridge, MA: MIT Press.[Publisher] [Strüngmann Forum Reports]
[PDF] [Abstract] Kurth-Nelson, Z., O'Doherty, J.P., M., B.D., Denève, S., Durstewitz, D., Frank, M., Gordon, J., Mathew, S.J., Y., N., Ressler, K. & Tost, H. (2016). Computational Approaches for Studying Mechanisms of Psychiatric Disorders. A.D. Redish & J.D. Gordon (Eds) Computational Psychiatry: New Perspectives on Mental Illness. Strüngmann Forum Reports, vol. 20, J. Lupp, series editor, Cambridge, MA: MIT Press.[Publisher] [Strüngmann Forum Reports]
[PDF] [Abstract] Pedersen, M.L., Frank, M.J. & Biele, G. (2017). The drift diffusion model as the choice rule in reinforcement learning. Psychonomic Bulletin & Review, 24, 1234-1251.
[Main PDF] [Supp PDF] [Abstract] Maia, T.V. & Frank, M.J. (2017). An integrative perspective on the role of dopamine in schizophrenia. Biological Psychiatry, 81, 52-66.
[PDF] [Abstract] Huys, Q.J.M., Maia, T.V. & Frank, M.J. (2016). Computational psychiatry as a bridge from neuroscience to clinical applications. Nature Neuroscience, 19, 404-413.
[PDF] [Abstract] Albrecht, M.A., Waltz, J.A., Cavanagh, J.F., Frank, M.J. & Gold, J. (2016). Reduction of Pavlovian bias in schizophrenia: Enhanced effects in clozapine-administered patients. PLoS ONE, 11:e0152781, 1-23.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Antoniades, C.A., Stevenson, A., Kennard, C., Borowsky, B., Owen, G., Leavitt, B., Roos, R., Durr, A., Tabrizi, S.J. & Frank, M.J. (2016). A computational cognitive biomarker for early-stage Huntington's disease. PLoS ONE, 11:e0148409,.
[PDF] [Abstract] Stephan, K.E., Bach, D.R., Fletcher, P.C., Flint, J., Frank, M.J., Friston, K.J., Heinz, A., Huys, Q.J.M., Owen, M.J., Binder, E.B., Dayan, P., Johnstone, E.C., Meyer-Lindenberg, A., Montague, P.R., Schnyder, U., Wang, X.J. & Breakspear, M. (2016). Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis. The Lancet Psychiatry, 3, 77-83.
[PDF] [Abstract] Gold, J.M., Waltz, J.W. & Frank, M.J. (2015). Effort cost computation in schizophrenia: A commentary on the recent literature. Biological Psychiatry, 78, 747-753.
[PDF] [Abstract] Morris, L., Baek, K., Kundu, P., Harrison, N.A., Frank, M.J. & Voon, V. (2016). Biases in the Explore-Exploit Tradeoff in Addictions: the Role of Avoidance of Uncertainty. Neuropsychopharmacology, 41, 940-948.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Poland, J.S. & Frank, M.J. (2015). Model-based cognitive neuroscience approaches to computational psychiatry: clustering and classification. Clinical Psychological Science, 3, 378-399.
[PDF] [Abstract] Collins, A.G.E., Brown., J., Gold, J., Waltz, J. & Frank, M.J. (2014). Working memory contributions to reinforcement learning in schizophrenia. Journal of Neuroscience, 34, 13747-13756.
[PDF] [Abstract] Doll, B.B., Waltz, J.A., Cockburn, J., K., B.J., Frank, M.J. & Gold, J.M. (2014). Reduced susceptibility to confirmation bias in schizophrenia. Cognitive, Affective and Behavioral Neuroscience, 14, 715-728.
[PDF] [Abstract] Beeler, J.A., Frank, M.J., McDaid, J., Alexander, E., Turkson, S., Sol Bernandez, M., McGehee, D. & Zhuang, X. (2012). A role for dopamine-mediated learning in the pathophysiology and treatment of Parkinson's Disease. Cell Reports, 2, 1747-1761.
[PDF] [Abstract] Gold, J.M., Strauss, G.P., Waltz, J.A., Robinson, B.M., Brown, J.K. & Frank, M.J. (2013). Negative symptoms of schizophrenia are associated with abnormal effort-cost computations. Biological Psychiatry, 74, 130-136.
[Main PDF] [Supp PDF] [Abstract] Gold, J.M., Waltz, J.A., Matveeva, T.M., Kasanova, Z., Strauss, G.P., Herbener, E.S., Collins, A.G.E. & Frank, M.J. (2012). Negative symptoms and the failure to represent the expected reward value of actions: Behavioral and computational modeling evidence. Archives of General Psychiatry, 69, 129-138.
[Main PDF] [Supp PDF] [Abstract] Cavanagh, J.F., Wiecki, T.V., Cohen, M.X., Figueroa, C.M., Samanta, J., Sherman, S.J. & Frank, M.J. (2011). Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold. Nature Neuroscience, 14, 1462-1467.
[PDF] [Abstract] Maia, T.V. & Frank, M.J. (2011). From reinforcement learning models to psychiatric and neurological disorders. Nature Neuroscience, 14, 154-162.
[PDF] [Abstract] Cavanagh, J.F., Bismark, A.J., Frank, M.J. & Allen, J.J.B. (2011). Larger error signals in major depression are associated with better avoidance learning. Frontiers in Psychology | Cognition, 2,.
[PDF] [Abstract] Strauss, G.P., Frank, M.J., Waltz, J.A., Kasanova, Z., Herbener, E.S. & Gold, J.M. (2011). Deficits in positive reinforcement learning and uncertainty-driven exploration are associated with distinct aspects of negative symptoms in schizophrenia. Biological Psychiatry, 69, 424-431.
[PDF] [Abstract] Solomon, M., Smith, A.C., Frank, M.J., Ly, S. & Carter, C. (2011). Probabilistic reinforcement learning in adults with autism spectrum disorders. Autism Research.
[PDF] [Abstract] Kasanova, Z., Waltz, J.A., Strauss, G.P., Frank, M.J. & Gold, J.M. (2011). Optimizing vs matching: Response strategy in a probabilistic learning task is associated with negative symptoms of schizophrenia. Schizophrenia Research, 127, 215-222.
[PDF] [Abstract] Waltz, J.A., Frank, M.J., Wiecki, T.V. & Gold, J.M. (2011). Altered probabilistic learning and response biases in schizophrenia: Behavioral evidence and neurocomputational modeling. Neuropsychology, 25,.
[PDF] [Abstract] Wiecki, T.V. & Frank, M.J. (2010). Neurocomputational models of motor and cognitive deficits in Parkinson's disease. Progress in Brain Research, 183, 275-297.
[PDF] [Abstract] Cavanagh, J.F., Grundler, T.O.J., Frank, M.J. & Allen, J.J.B. (2010). Altered cingulate sub-region activation accounts for task-related dissociation in ERN amplitude as a function of obsessive-compulsive symptoms. Neuropsychologia, 48, 2098-2109.
[PDF] [Abstract] Strauss, G.P., Robinson, B.M., Waltz, J.A., Frank, M.J., Kasanova, Z., Herbener, E.S. & Gold, J.M. (2011). Patients with schizophrenia demonstrate inconsistent preference judgments for affective and nonaffective stimuli. Schizophrenia Bulletin, 37, 1295-1304.
[PDF] [Abstract] Chase, H.W., Frank, M.J., Michael, A., Bullmore, E.T., Sahakian, B. & Robbins, T.W. (2010). Approach and avoidance learning in patients with major depression and healthy controls: relation to anhedonia. Psychological Medicine, 40, 433-440.
[PDF] [Abstract] Gruendler, T.O.J., Cavanagh, J.F., Figueroa, C.M., Frank, M.J. & Allen, J.J.B. (2009). Task-related dissociation in ERN amplitude as a function of obsessive-compulsive symptoms. Neuropsychologia, 47, 1978-1987.
[PDF] [Abstract] Moustafa, A.A., Cohen, M.X., Sherman, S.J. & Frank, M.J. (2008). A role for dopamine in temporal decision making and reward maximization in Parkinsonism. Journal of Neuroscience, 28, 12294-12304.
[PDF] Frank, M.J. (2008). Schizophrenia: A computational reinforcement learning perspective. Schizophrenia Bulletin, 34, 1008-1011.
[PDF] [Abstract] Moustafa, A.A., Sherman, S.J. & Frank, M.J. (2008). A dopaminergic basis for working memory, learning and attentional shifting in Parkinsonism. Neuropsychologia, 46, 3144-3156.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Samanta, J., Moustafa, A.A. & Sherman, S.J. (2007). Hold your horses: Impulsivity, deep brain stimulation and medication in Parkinsonism. Science, 318, 1309-1312. [Journal Homepage]
[PDF] [Abstract] Frank, M.J., Santamaria, A., O'Reilly, R. & Willcutt, E. (2007). Testing computational models of dopamine and noradrenaline dysfunction in Attention Deficit/Hyperactivity Disorder. Neuropsychopharmacology, 32, 1583-99.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Scheres, A. & Sherman, S.J. (2007). Understanding decision making deficits in neurological conditions: Insights from models of natural action selection. Philosophical Transactions of the Royal Society - B, 362, 1641-1654. [Journal Homepage]
[Main PDF] [Commentary] [Abstract] Waltz, J.A., Frank, M.J., Robinson, B.M. & Gold, J.M. (2007). Selective reinforcement learning deficits in schizophrenia support predictions from computational models of striatal-cortical dysfunction. Biological Psychiatry, 62, 756-764.
[PDF] [Abstract] Frank, M.J. (2005). Dynamic dopamine modulation in the basal ganglia: A neurocomputational account of cognitive deficits in medicated and non-medicated Parkinsonism. Journal of Cognitive Neuroscience, 17, 51-72.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Seeberger, L. & O'Reilly, R.C. (2004). By carrot or by stick: Cognitive reinforcement learning in Parkinsonism. Science, 306, 1940-1943.

Reinforcement Learning and Decision Making in Basal Ganglia and Frontal Cortex

[PDF] [Abstract] Soni, A. & Frank, M.J. (2024). Adaptive chunking improves effective working memory capacity in a prefrontal cortex and basal ganglia circuit. eLife, 13, RP97894.
[PDF] [Abstract] Pagnier, G., Asaad, W.F. & Frank, M.J. (2024). Double dissociation of dopamine and subthalamic nucleus stimulation on effortful cost/benefit decision making. Current Biology, 34, 665-660.
[PDF] [Abstract] Jaskir, A. & Frank, M.J. (2023). On the normative advantages of dopamine and striatal opponency for learning and choice. eLife, 12, e85107.
[PDF] [Abstract] Rac-Lubashevsky, R., Cremer, A., Collins, A.G.E., Frank, M.J.*. & Schwabe, L.*. (2023). Neural index of reinforcement learning predicts improved stimulus-response retention under high working memory load. *co-senior authors; alphabetical order. Journal of Neuroscience, 43(17), 3131-3143.
[PDF] [Abstract] Scott, D.N. & Frank, M.J. (2023). Adaptive control of synaptic plasticity integrates micro- and macroscopic network function. Neuropsychopharmacology, 48, 121-144.
[PDF] [Abstract] Moolchand, P., Jones, S.R. & Frank, M.J. (2022). Biophysical and Architectural Mechanisms of Subthalamic Theta under Response Conflict. Journal of Neuroscience, 42, 4470-4487.
[PDF] [Abstract] Calderon, C.B., Verguts, T. & Frank, M.J. (2022). Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits. PLoS Computational Biology e1009854.
[PDF] [Abstract] Hamid, A.A., Frank, M.J.*. & Moore, C.I.*. (2021). Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment. *co-senior authors; alphabetical order. Cell, 184, 2733-2749.
[PDF] [Abstract] Westbrook, J.A., Frank, M.J. & Cools, R. (2021). A mosaic of cost-benefit control over cortico-striatal circuitry. Trends in Cognitive Sciences, 25, 710-721.
[PDF] [Abstract] Lehnert, L., Littman, M.L. & Frank, M.J. (2020). Reward-predictive representations generalize across tasks in reinforcement learning. PLOS Computational Biology, 16(10), e1008317.
[Main PDF] [Supp PDF] [Abstract] Westbrook, J., van den Bosch, R., Maatta, J.I., Hofmans, L., Papadopetraki, D., Cools, R.*. & Frank, M.J.*. (2020). Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work. *co-senior authors. Science, 367, 1362-1366. [Journal Homepage]
[PDF] [Abstract] Pedersen, M.L. & Frank, M.J. (2020). Simultaneous hierarchical Bayesian parameter estimation for reinforcement learning and drift diffusion models: a tutorial and links to neural data. Computational Brain & Behavior, 3, 458-471.
[PDF] [Abstract] Patel, S.R., Herrington, T., Sheth, S.A., Mian, M., Bick, S.K., Yang, J.C., Flaherty, A.W., Frank, M.J., Widge, A.S., Dougherty, D. & Eskandar, E.N. (2018). Intermittent subthalamic nucleus deep brain stimulation induces risk-aversive behavior in human subjects. eLife, 7, e36460.
[PDF] [Abstract] Jahfari, S., Ridderinkhof, K.R., Collins, A.G.E., Knapen, T., Waldorp, L. & Frank, M.J. (2019). Cross-task contributions of frontobasal ganglia circuitry in response inhibition and conflict-induced slowing. Cerebral Cortex, 29, 1969-1983.
[PDF] [Abstract] Westbrook, J.A. & Frank, M.J. (2018). Dopamine and proximity in motivation and cognitive control. Current Opinion in Behavioral Sciences, 22, 28-34.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E., Albrecht, M., Waltz, J.A., Gold, J.M. & Frank, M.J. (2017). Interactions between working memory, reinforcement learning and effort in value-based choice: A new paradigm and selective deficits in schizophrenia. Biological Psychiatry, 82, 431-439.
[PDF] [Abstract] Collins, A.G.E., Ciullo, B., Frank, M.J. & Badre, D. (2017). Working memory load strengthens reward prediction errors. Journal of Neuroscience, 37, 4332-4342.
[PDF] [Abstract] Swart, J.C., Frobose, M.I., Cook, J.L., Geurts, D.E.M., Frank, M.J., Cools, R. & den Ouden, H.E.M. (2017). Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action. eLife, 6:e22169,.
[PDF] [Abstract] Kasanova, Z., Ceccarini, J., Frank, M.J., van Amelsvoort, T., Booij, J., Heinzel, A., Mottaghy, F. & Myin-Germeys, I. (2017). Striatal dopaminergic modulation of reinforcement learning predicts reward-oriented behavior in daily life. Biological Psychology, 127, 1-9.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Neural signature of hierarchically structured expectations predicts clustering and transfer of rule sets in reinforcement learning. Cognition, 152, 160-169.
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2015). A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning. eLife, 4:e12029,.
[PDF] [Abstract] Doll, B.B., Bath, K.G., Daw, N.D. & Frank, M.J. (2016). Variability in dopamine genes dissociates model-based and model-free reinforcement learning. Journal of Neuroscience, 36, 1211-1222.
[PDF] [Abstract] Slagter, H.A., Georgopoulou, K. & Frank, M.J. (2015). Spontaneous eye blink rate predicts learning from negative, but not positive, outcomes. Neuropsychologia, 71, 126-132.
[PDF] [Abstract] Frank, M.J., Gagne, C., Nyhus, E., Masters, S., Wiecki, T.V., Cavanagh, J.F. & Badre, D. (2015). fMRI and EEG Predictors of Dynamic Decision Parameters during Human Reinforcement Learning. Journal of Neuroscience, 35, 484-494.
[PDF] [Abstract] Cox, S.M.L., Frank, M.J., Larcher, K., Fellows, L.K., Clark, C.A., Leyton, M. & Dagher, A. (2015). Striatal D1 and D2 signaling differentially predict learning from positive and negative outcomes. NeuroImage, 109, 95-101.
[PDF] [Abstract] Frank, M.J. (2015). Linking across levels of computation in model-based cognitive neuroscience. B.U. Forstmann & E. Wagenmakers (Eds) An Introduction to Model-Based Cognitive Neuroscience, 163-181, New York: Springer.
[Main PDF] [Supp PDF] [Abstract] Cockburn, J., Collins, A.G.E. & Frank, M.J. (2014). A reinforcement learning mechanism responsible for the valuation of free choice. Neuron, 83, 551-557.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2014). Opponent Actor Learning (OpAL): modeling interactive effects of striatal dopamine on reinforcement learning and choice incentive. Psychological Review, 121, 337-366.
[PDF] [Abstract] Cavanagh, J.F., Sanguinetti, J.L., Allen, J.J.B., Sherman, S.J. & Frank, M.J. (2014). The subthalamic nucleus contributes to post-error slowing. Journal of Cognitive Neuroscience, 26, 2637-2644.
[PDF] [Abstract] Chatham, C., Frank, M.J. & Badre, D. (2014). Corticostriatal output gating during selection from working memory. Neuron, 81, 930-942.
[PDF] [Abstract] Cavanagh, J.F., Eisenberg, I., Guitart-Masip, M., Huys, Q. & Frank, M.J. (2013). Frontal theta overrides Pavlovian learning biases. Journal of Neuroscience, 33, 8541-8548.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2013). Cognitive control over learning: Creating, clustering and generalizing task-set structure. Psychological Review, 120, 190-229.
[PDF] [Abstract] Wiecki, T.V. & Frank, M.J. (2013). A computational model of inhibitory control in frontal cortex and basal ganglia. Psychological Review, 120, 329-355.
[PDF] [Abstract] Beeler, J.A., Frank, M.J., McDaid, J., Alexander, E., Turkson, S., Sol Bernandez, M., McGehee, D. & Zhuang, X. (2012). A role for dopamine-mediated learning in the pathophysiology and treatment of Parkinson's Disease. Cell Reports, 2, 1747-1761.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2012). How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis. European Journal of Neuroscience, 35, 1024-1035.
[Main PDF] [Supp PDF] [Abstract] Cavanagh, J.F., Wiecki, T.V., Cohen, M.X., Figueroa, C.M., Samanta, J., Sherman, S.J. & Frank, M.J. (2011). Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold. Nature Neuroscience, 14, 1462-1467.
[PDF] [Abstract] Ratcliff, R. & Frank, M.J. (2012). Reinforcement-based decision making in corticostriatal circuits: Mutual constraints by neurocomputational and diffusion models. Neural Computation, 24, 1186-1229.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J. & Badre, D. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: Computational analysis. Cerebral Cortex, 22, 509-526.
[PDF] [Abstract] Badre, D. & Frank, M.J. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 2: Evidence from fMRI. Cerebral Cortex, 22, 527-536.
[PDF] [Abstract] Doll, B.B., Hutchison, K.E. & Frank, M.J. (2011). Dopaminergic genes predict individual differences in susceptibility to confirmation bias. Journal of Neuroscience 6188-6198.
[PDF] [Abstract] Frank, M.J. (2011). Computational models of motivated action selection in corticostriatal circuits. Current Opinion in Neurobiology, 21, 381-386.
[PDF] [Abstract] Maia, T.V. & Frank, M.J. (2011). From reinforcement learning models to psychiatric and neurological disorders. Nature Neuroscience, 14, 154-162.
[PDF] [Abstract] Frank, M.J. & Fossella, J.A. (2011). Neurogenetics and pharmacology of learning, motivation and cognition. Neuropsychopharmacology Reviews, 36, 133-152.
[PDF] [Abstract] Cockburn, J. & Frank, M.J. (2011). Reinforcement learning, conflict monitoring, and cognitive control: An integrative model of cingulate-striatal interactions and the ERN. R. Mars, J. Sallet, M. Rushworth & N. Yeung (Eds) Neural Basis of Motivational and Cognitive Control, 311-331, Cambridge: The MIT Press.
[PDF] [Abstract] Solomon, M., Smith, A.C., Frank, M.J., Ly, S. & Carter, C. (2011). Probabilistic reinforcement learning in adults with autism spectrum disorders. Autism Research.
[PDF] [Abstract] Wietzikoski, E.C., Boschen, S.L., Miyoshi, E., Bortolanza, M., Mendes dos Santos, L., Frank, M.J., Brandao, M.L., Winn, P. & Da Cunha, C. (2012). Roles of D1-like dopamine receptors in the nucleus accumbens and dorsolateral striatum in conditioned avoidance responses. Psychopharmacology, 219, 159-69.
[PDF] [Abstract] Wiecki, T.V. & Frank, M.J. (2010). Neurocomputational models of motor and cognitive deficits in Parkinson's disease. Progress in Brain Research, 183, 275-297.
[PDF] [Abstract] Cavanagh, J.F., Frank, M.J., Klein, T.J. & Allen, J.J.B. (2010). Frontal theta links prediction errors to behavioral adaptation in reinforcement learning. NeuroImage, 49, 3198-3209.
[PDF] [Abstract] Robinson, O.J., Frank, M.J., Sahakian, B.J. & Cools, C. (2010). Dissociable responses to punishment in distinct striatal regions during reversal learning. NeuroImage 1459-1467.
[PDF] [Abstract] Samson, R.D., Frank, M.J. & Fellous, J. (2010). Computational models of reinforcement learning: the role of dopamine as a reward signal. Cognitive Neurodynamics, 4, 91-105.
[PDF] [Abstract] Hazy, T.E., Frank, M.J. & O'Reilly, R.C. (2010). Neural mechanisms of acquired phasic dopamine responses in learning. Neuroscience & Biobehavioral Reviews, 34, 701-720.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Doll, B.B., Oas-Terpstra, J. & Moreno, F. (2009). Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation. Nature Neuroscience, 12, 1062-1068.
[PDF] Daw, N.D. & Frank, M.J. (2009). Reinforcement learning and higher level cognition: Introduction to special issue. Cognition, 113, 259-261.
[PDF] Frank, M.J. & Surmeier, D.J. (2009). Do substantia nigra dopaminergic neurons differentiate between reward and punishment? (Commentary on Matsumoto & Hikosaka, 2009). Journal of Molecular Cell Biology, 1, 15-16.
[email me for PDF] [Abstract] Doll, B.B. & Frank, M.J. (2009). The basal ganglia in reward and decision making: computational models and empirical studies. J. Dreher & L. Tremblay (Eds) Handbook of Reward and Decision Making, 399-425, Oxford: Academic Press.
[PDF] [Abstract] Frank, M.J. & Hutchison, K.E. (2009). Genetic contributions to avoidance-based decisions: Striatal D2 receptor polymorphisms. Neuroscience, 164, 131-140.
[PDF] Frank, M.J. (2009). Slave to the striatal habit (Commentary on Tricomi et al, 2009). European Journal of Neuroscience, 29, 2223-2224.
[Main PDF] [Supp PDF] [Abstract] Wiecki, T.V., Riedinger, K., Meyerhofer, A., Schmidt, W. & Frank, M.J. (2009). A neurocomputational account of catalepsy sensitization induced by D2-receptor-blockade in rats: Context-dependency, extinction, and renewal. Psychopharmacology, 204, 265--277.
[PDF] [Abstract] Doll, B.B., Jacobs, W.J., Sanfey, A.G. & Frank , M.J. (2009). Instructional control of reinforcement learning: A behavioral and neurocomputational investigation. Brain Research, 1299, 74-94.
[PDF] [Abstract] Frank, M.J., Cohen, M.X. & Sanfey, A.G. (2009). Multiple systems in decision making: A neurocomputational perspective. Current Directions in Psychological Science, 18, 73--77.
[Main PDF] [Supp PDF] [Abstract] Cools, R., Frank, M.J., Gibbs, S.E., Miyakawa, A., Jagust, W. & D'Esposito, M. (2009). Striatal dopamine predicts outcome-specific reversal learning and its sensitivity to dopaminergic drug administration. Journal of Neuroscience, 29, 1538-1543.
[PDF] [Abstract] Cohen, M.X. & Frank, M.J. (2009). Neurocomputational models of basal ganglia function in learning, memory and choice. Behavioural Brain Research, 199, 141-156.
[PDF] [Abstract] Moustafa, A.A., Cohen, M.X., Sherman, S.J. & Frank, M.J. (2008). A role for dopamine in temporal decision making and reward maximization in Parkinsonism. Journal of Neuroscience, 28, 12294-12304.
[PDF] Frank, M.J. (2008). Schizophrenia: A computational reinforcement learning perspective. Schizophrenia Bulletin, 34, 1008-1011.
[PDF] [Abstract] Santesso, D., Evins, A., Frank, M., Cowman, E. & Pizzagalli, D. (2009). Single dose of a dopamine agonist impairs reinforcement learning in humans: Converging evidence from electrophysiology and computational modeling of striatal-cortical function. Human Brain Mapping, 30, 1963--1976.
[PDF] [Abstract] Frank, M.J. & Kong, L. (2008). Learning to Avoid in Older Age. Psychology and Aging, 23, 392-398.
[PDF] [Abstract] Pizzagalli, D.A., Evins, A.E., Schetter, E.C., Frank, M.J., Pajtas, P.E., Santesso, D.L. & Culhane, M. (2008). Single dose of a dopamine agonist impairs reinforcement learning in humans: Behavioral evidence from a laboratory-based measure of reward responsiveness. Psychopharmacology, 196, 221--232.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Samanta, J., Moustafa, A.A. & Sherman, S.J. (2007). Hold your horses: Impulsivity, deep brain stimulation and medication in Parkinsonism. Science, 318, 1309-1312. [Journal Homepage]
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Moustafa, A.A., Haughey, H., Curran, T. & Hutchison, K. (2007). Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning. Proceedings of the National Academy of Sciences, 104, 16311-16316. [Journal Homepage]
[PDF] [Abstract] Frank, M.J., D'Lauro, C. & Curran, T. (2007). Cross-task individual differences in error processing: Neural, electrophysiological and genetic components. Cognitive, Affective and Behavioral Neuroscience, 7, 297-308.
[PDF] [Abstract] Frank, M.J., Santamaria, A., O'Reilly, R. & Willcutt, E. (2007). Testing computational models of dopamine and noradrenaline dysfunction in Attention Deficit/Hyperactivity Disorder. Neuropsychopharmacology, 32, 1583-99.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Scheres, A. & Sherman, S.J. (2007). Understanding decision making deficits in neurological conditions: Insights from models of natural action selection. Philosophical Transactions of the Royal Society - B, 362, 1641-1654. [Journal Homepage]
[Main PDF] [Commentary] [Abstract] Waltz, J.A., Frank, M.J., Robinson, B.M. & Gold, J.M. (2007). Selective reinforcement learning deficits in schizophrenia support predictions from computational models of striatal-cortical dysfunction. Biological Psychiatry, 62, 756-764.
[PDF] [Abstract] Aron, A.R., Behrens, T.E., Smith, S., Frank, M.J. & Poldrack, R.A. (2007). Triangulating a cognitive control network using diffusion-weighted MRI and functional MRI. Journal of Neuroscience, 27, 3743-52.
[PDF] [Abstract] O'Reilly, R.C., Frank, M.J., Hazy, T.E. & Watz, B. (2007). PVLV: The Primary Value and Learned Value Pavlovian learning algorithm. Behavioral Neuroscience, 121, 31-49.
[PDF] [Abstract] Frank, M.J. (2006). Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making. Neural Networks, 19, 1120-1136.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J. & O'Reilly, R.C. (2006). A mechanistic account of striatal dopamine function in human cognition: Psychopharmacological studies with cabergoline and haloperidol. Behavioral Neuroscience, 120, 497-517.
[PDF] [Abstract] Frank, M.J. & Claus, E.D. (2006). Anatomy of a decision: Striato-orbitofrontal interactions in reinforcement learning, decision making and reversal. Psychological Review, 113, 300-326.
[PDF] [Abstract] Frank, M.J., OReilly, R.C. & Curran, T. (2006). When memory fails, intuition reigns: Midazolam enhances implicit inference in humans. Psychological Science, 17, 700-707.
[PDF] [Abstract] Frank, M.J. (2005). Dynamic dopamine modulation in the basal ganglia: A neurocomputational account of cognitive deficits in medicated and non-medicated Parkinsonism. Journal of Cognitive Neuroscience, 17, 51-72.
[PDF] [Abstract] Frank, M.J., Woroch, B.S. & Curran, T. (2005). Error-related negativity predicts reinforcement learning and conflict biases. Neuron, 47, 495-501.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J., Seeberger, L. & O'Reilly, R.C. (2004). By carrot or by stick: Cognitive reinforcement learning in Parkinsonism. Science, 306, 1940-1943.
[PDF] [Abstract] Frank, M.J. (2004). Dynamic dopamine modulation of striato-cortical circuits in cognition: Converging neuropsychological, psychopharmacological and computational studies. Phd Thesis, University of Colorado at Boulder, Boulder, CO
[PDF] [Abstract] Atallah, H.E., Frank, M.J. & O'Reilly, R.C. (2004). Hippocampus, cortex and basal ganglia: Insights from computational models of complementary learning systems. Neurobiology of Learning and Memory, 82/3, 253-67.

Working Memory and Cognitive Control in the Prefrontal Cortex and Basal Ganglia

[PDF] [Abstract] Soni, A. & Frank, M.J. (2024). Adaptive chunking improves effective working memory capacity in a prefrontal cortex and basal ganglia circuit. eLife, 13, RP97894.
[PDF] [Abstract] Rac-Lubashevsky, R., Cremer, A., Collins, A.G.E., Frank, M.J.*. & Schwabe, L.*. (2023). Neural index of reinforcement learning predicts improved stimulus-response retention under high working memory load. *co-senior authors; alphabetical order. Journal of Neuroscience, 43(17), 3131-3143.
[PDF] [Abstract] Brown, V.M., Hallquist, M.N., Frank, M.J. & Dombrovski, A.Y. (2022). Humans adaptively resolve the explore-exploit dilemma under cognitive constraints: Evidence from a multi-armed bandit task. Cognition, 229,.
[PDF] [Abstract] Rac-Lubashevsky, R. & Frank, M.J. (2021). Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence. PLoS Computational Biology, 17, e1008971.
[PDF] [Abstract] Westbrook, J.A., Frank, M.J. & Cools, R. (2021). A mosaic of cost-benefit control over cortico-striatal circuitry. Trends in Cognitive Sciences, 25, 710-721.
[Main PDF] [Supp PDF] [Abstract] Westbrook, J., van den Bosch, R., Maatta, J.I., Hofmans, L., Papadopetraki, D., Cools, R.*. & Frank, M.J.*. (2020). Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work. *co-senior authors. Science, 367, 1362-1366. [Journal Homepage]
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2020). Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning. PLOS Computational Biology, 16, e1007720.
[PDF] [Abstract] Nassar, M.R., Bruckner, R. & Frank, M.J. (2019). Statistical context dictates the relationship between feedback-related EEG signals and learning. eLife, 8, e46975.
[PDF] [Abstract] Franklin, N.T. & Frank, M.J. (2018). Compositional clustering in task structure learning. PLOS Computational Biology, 14(4), e1006116.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2018). Within- and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory. Proceedings of the National Academy of Sciences, 115, 2502-2507.
[Main PDF] [Supp PDF] [Abstract] Nassar, M.R., Helmers, J. & Frank, M.J. (2018). Chunking as a rational strategy for lossy data compression in visual working memory. Psychological Review, 125, 486-511.
[PDF] [Abstract] Swart, J.C., Frank, M.J., Maatta, J.I., Jensen, O., Cools, R. & den Ouden, H.E.M. (2018). Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action. PLoS Biology, 16, e2005959.
[PDF] [Abstract] Jahfari, S., Ridderinkhof, K.R., Collins, A.G.E., Knapen, T., Waldorp, L. & Frank, M.J. (2019). Cross-task contributions of frontobasal ganglia circuitry in response inhibition and conflict-induced slowing. Cerebral Cortex, 29, 1969-1983.
[PDF] [Abstract] Westbrook, J.A. & Frank, M.J. (2018). Dopamine and proximity in motivation and cognitive control. Current Opinion in Behavioral Sciences, 22, 28-34.
[Main PDF] [Supp PDF] [Abstract] Collins, A.G.E., Albrecht, M., Waltz, J.A., Gold, J.M. & Frank, M.J. (2017). Interactions between working memory, reinforcement learning and effort in value-based choice: A new paradigm and selective deficits in schizophrenia. Biological Psychiatry, 82, 431-439.
[PDF] [Abstract] Collins, A.G.E., Ciullo, B., Frank, M.J. & Badre, D. (2017). Working memory load strengthens reward prediction errors. Journal of Neuroscience, 37, 4332-4342.
[PDF] [Abstract] Werchan, D.M., Collins, A.G.E., Frank, M.J. & Amso, D. (2016). Role of Prefrontal Cortex in Learning and Generalizing Hierarchical Rules in 8-Month-Old Infants. Journal of Neuroscience, 36, 10314-10322.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Motor demands constrain cognitive rule structures. PLoS Computational Biology, 12:e1004785,.
[PDF] [Abstract] Doll, B.B., Bath, K.G., Daw, N.D. & Frank, M.J. (2016). Variability in dopamine genes dissociates model-based and model-free reinforcement learning. Journal of Neuroscience, 36, 1211-1222.
[PDF] [Abstract] Kayser, A., Mitchell, J.M., Weinstein, D. & Frank, M.J. (2015). Dopamine, locus of control, and the exploration-exploitation tradeoff. Neuropsychopharmacology, 40, 454-462.
[PDF] [Abstract] Cavanagh, J.F. & Frank, M.J. (2014). Frontal theta as a mechanism for cognitive control. Trends in Cognitive Sciences, 18, 414-421.
[PDF] [Abstract] Collins, A.G.E., Cavanagh, J.F. & Frank, M.J. (2014). Human EEG uncovers latent generalizable task-set structure during learning. Journal of Neuroscience, 34, 4677-4685.
[PDF] [Abstract] Chatham, C., Frank, M.J. & Badre, D. (2014). Corticostriatal output gating during selection from working memory. Neuron, 81, 930-942.
[PDF] [Abstract] Narayanan, S.N., Cavanagh, J.F., Frank, M.J. & Laubach, M. (2013). Common medial frontal mechanisms of adaptive control in humans and rodents. Nature Neuroscience, 16, 1888-95.
[PDF] [Abstract] Cavanagh, J.F., Eisenberg, I., Guitart-Masip, M., Huys, Q. & Frank, M.J. (2013). Frontal theta overrides Pavlovian learning biases. Journal of Neuroscience, 33, 8541-8548.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2013). Cognitive control over learning: Creating, clustering and generalizing task-set structure. Psychological Review, 120, 190-229.
[PDF] [Abstract] Wiecki, T.V. & Frank, M.J. (2013). A computational model of inhibitory control in frontal cortex and basal ganglia. Psychological Review, 120, 329-355.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2012). How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis. European Journal of Neuroscience, 35, 1024-1035.
[PDF] [Abstract] Cavanagh, J.F., Figueroa, C.M., Cohen, M.X. & Frank, M.J. (2012). Frontal theta reflects uncertainty and unexpectedness during exploration and exploitation. Cerebral Cortex 2575-86.
[Main PDF] [Supp PDF] [Abstract] Badre, D., Doll, B.B., Long, N.M. & Frank, M.J. (2012). Rostrolateral prefrontal cortex and individual differences in uncertainty-driven exploration. Neuron, 73, 595-607.
[PDF] [Abstract] Jahfari, S., Verbruggen, F., Frank, M., Waldorp, L., Colzato, L., Ridderinkhof, K. & Forstmann, B. (2012). How preparation changes the need for top-down control of the basal ganglia when inhibiting premature actions. Journal of Neuroscience, 32, 10870-8.
[Main PDF] [Supp PDF] [Abstract] Cavanagh, J.F., Wiecki, T.V., Cohen, M.X., Figueroa, C.M., Samanta, J., Sherman, S.J. & Frank, M.J. (2011). Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold. Nature Neuroscience, 14, 1462-1467.
[Main PDF] [Supp PDF] [Abstract] Frank, M.J. & Badre, D. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: Computational analysis. Cerebral Cortex, 22, 509-526.
[PDF] [Abstract] Badre, D. & Frank, M.J. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 2: Evidence from fMRI. Cerebral Cortex, 22, 527-536.
[Main PDF] [Supp PDF] [Abstract] Chatham, C.H., Frank, M.J. & Munakata, Y. (2009). Pupillometric and behavioral markers of a developmental shift in the temporal dynamics of cognitive control. Proceedings of the National Academy of Sciences, 106, 5529-5533.
[PDF] [Abstract] Moustafa, A.A., Sherman, S.J. & Frank, M.J. (2008). A dopaminergic basis for working memory, learning and attentional shifting in Parkinsonism. Neuropsychologia, 46, 3144-3156.
[PDF] [Abstract] Frank, M.J., Santamaria, A., O'Reilly, R. & Willcutt, E. (2007). Testing computational models of dopamine and noradrenaline dysfunction in Attention Deficit/Hyperactivity Disorder. Neuropsychopharmacology, 32, 1583-99.
[Main PDF] [Supp PDF] [Abstract] Hazy, T.E., Frank, M.J. & O'Reilly, R.C. (2007). Toward an executive without a homunculus: Computational models of the prefrontal cortex/basal ganglia system. Philosophical Transactions of the Royal Society - B, 362, 1601-1613. [Journal Homepage]
[Main PDF] [Supp PDF] [Abstract] Frank, M.J. & O'Reilly, R.C. (2006). A mechanistic account of striatal dopamine function in human cognition: Psychopharmacological studies with cabergoline and haloperidol. Behavioral Neuroscience, 120, 497-517.
[PDF] [Abstract] Frank, M.J. & Claus, E.D. (2006). Anatomy of a decision: Striato-orbitofrontal interactions in reinforcement learning, decision making and reversal. Psychological Review, 113, 300-326.
[PDF] [Abstract] O'Reilly, R.C. & Frank, M.J. (2006). Making working memory work: A computational model of learning in the frontal cortex and basal ganglia. Neural Computation, 18, 283-328.
[PDF] [Abstract] Hazy, T.E., Frank, M.J. & O'Reilly, R.C. (2006). Banishing the homunculus: Making working memory work. Neuroscience, 139, 105--118.
[PDF] [Abstract] Frank, M.J. (2004). Dynamic dopamine modulation of striato-cortical circuits in cognition: Converging neuropsychological, psychopharmacological and computational studies. Phd Thesis, University of Colorado at Boulder, Boulder, CO
[PDF] [Abstract] Frank, M.J., Loughry, B. & O'Reilly, R.C. (2001). Interactions between the frontal cortex and basal ganglia in working memory: A computational model. Cognitive, Affective, and Behavioral Neuroscience, 1, 137-160.

Learning, Memory and Generalization in the Hippocampus

[PDF] [Abstract] Rouhani, N., Niv, Y., Frank, M.J. & Schwabe, L. (2023). Multiple routes to enhanced memory for emotionally relevant events. Trends in Cognitive Sciences, 27, 867-882.
[PDF] [Abstract] Lehnert, L., Littman, M.L. & Frank, M.J. (2020). Reward-predictive representations generalize across tasks in reinforcement learning. PLOS Computational Biology, 16(10), e1008317.
[PDF] [Abstract] Frank, M.J., O'Reilly, R. & Curran, T. (2008). Midazolam, hippocampal function, and transitive inference: Reply to Greene. Behavioral and Brain Functions, 4, 5.
[PDF] [Abstract] Frank, M.J., OReilly, R.C. & Curran, T. (2006). When memory fails, intuition reigns: Midazolam enhances implicit inference in humans. Psychological Science, 17, 700-707.
[PDF] [Abstract] Frank, M.J., Rudy, J.W., Levy, W.B. & O'Reilly, R.C. (2005). When logic fails: Implicit transitive inference in humans. Memory and Cognition, 33, 742--750.
[PDF] [Abstract] Atallah, H.E., Frank, M.J. & O'Reilly, R.C. (2004). Hippocampus, cortex and basal ganglia: Insights from computational models of complementary learning systems. Neurobiology of Learning and Memory, 82/3, 253-67.
[PDF] [Abstract] Frank, M.J., Rudy, J.W. & O'Reilly, R.C. (2003). Transitivity, flexibility, conjunctive representations and the hippocampus: II. A computational analysis. Hippocampus, 13, 341-354.

Commentaries

[PDF] [Abstract] Russin, J.L., McGrath, S.W., Pavlick, E. & Frank, M.J. (in press). Is human compositionality meta-learned?. Behavioral and Brain Sciences.
[PDF] [Abstract] Maia, T.V., Huys, Q.J.M. & Frank, M.J. (2017). Theory-based computational psychiatry. Biological Psychiatry, 82, 382-384.
[PDF] [Abstract] Collins, A.G.E. & Frank, M.J. (2016). Surprise! Dopamine signals mix action, value and error. Nature Neuroscience, 19, 3-5.
[PDF] [Abstract] Badre, D., Frank, M.J. & Moore, C.I. (2015). Interactionist Neuroscience. Neuron, 88, 855-860.
[PDF] Daw, N.D. & Frank, M.J. (2009). Reinforcement learning and higher level cognition: Introduction to special issue. Cognition, 113, 259-261.
[PDF] Frank, M.J. & Surmeier, D.J. (2009). Do substantia nigra dopaminergic neurons differentiate between reward and punishment? (Commentary on Matsumoto & Hikosaka, 2009). Journal of Molecular Cell Biology, 1, 15-16.
[PDF] Frank, M.J. (2009). Slave to the striatal habit (Commentary on Tricomi et al, 2009). European Journal of Neuroscience, 29, 2223-2224.

Preprints

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