Michael J. FrankProfessor of Cognitive, Linguistic and Psychological Sciences
My research combines multiple levels of computational modeling and experimental work to understand the neural mechanisms underlying reinforcement learning, decision making and cognitive control. We develop neural circuit and algorithmic models of systems-level interactions between multiple brain areas (primarily prefrontal cortex and basal ganglia and their modulation by dopamine). We test theoretical predictions of the models using various neuropsychological, pharmacological, genetic, and imaging techniques. Find out more at http://ski.clps.brown.edu
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
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.
Maia, T.V. & Frank, M.J. (2017). An integrative perspective on the role of dopamine in schizophrenia. Biological Psychiatry, 81, 52-66.
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.
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.
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.
Franklin, N.T. & Frank, M.J. (2015). A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning. eLife, 4:e12029.
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.
Frank, M.J. & Badre, D. (2015). How cognitive theory guides neuroscience. Cognition, 135, 14-20.
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,.
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.
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.
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.
Cavanagh, J.F. & Frank, M.J. (2014). Frontal theta as a mechanism for cognitive control. Trends in Cognitive Sciences, 18, 414-421.
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.
Chatham, C., Frank, M.J. & Badre, D. (2014). Corticostriatal output gating during selection from working memory. Neuron, 81, 930-942.
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.
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.
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.
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.
Collins, A.G.E. & Frank, M.J. (2013). Cognitive control over learning: Creating, clustering and generalizing task-set structure. Psychological Review, 120, 190-229.
Wiecki, T.V. & Frank, M.J. (2013). A computational model of inhibitory control in frontal cortex and basal ganglia. Psychological Review, 120, 329-355.
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.
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.
Frank, M.J. & Badre, D. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: Computational analysis. Cerebral Cortex, 22, 509-526
Frank, M.J. and Fossella, J. (2011) Neurogenetics and pharmacology of learning, motivation and cognition. Neuropsychopharmacology Reviews 36, 133-152.
Maia, T.V. and Frank, M.J. (2011). From reinforcement learning models to psychiatric and neurological disorders. Nature Neuroscience 14, 154-162.
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, 424-31
Doll, B.B., Hutchison, K.E. & Frank, M.J. (2011). Dopaminergic genes predict individual differences in susceptibility to confirmation bias. Journal of Neuroscience 31, 6188-6198.
Cavanagh, J., Frank, M.J., Klein, T.J., and Allen, J.J.B. (2010). Frontal theta links prediction errors to behavioral adaptation in reinforcement learning. NeuroImage 49, 3198-3209.
Wiecki, T.V., Riedinger, K., Meyerhofer, A., Schmidt, W.J. and Frank, M.J. (2009). A neurocomputational account of catalepsy sensitization induced by D2-receptor-blockade in rats: Context-dependency, extinction and renewal . Psychopharmacology 204(2):265-77.
Cohen, M.X. and Frank, M.J. (2009). Neurocomputational models of basal ganglia function in learning, memory and choice. Behavioural Brain Research 199:141-156.
Frank, M.J., Doll, B.B, Oas-Terpstra, J., and Moreno, F (2009). Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation. Nature Neuroscience
Doll, B.B., Jacobs, W.J. , Sanfey, A.G and Frank M.J. (2009). Instructional control of reinforcement learning: A behavioral and neurocomputational investigation. Brain Research
Moustafa, A.A., Cohen, M.X., Sherman, S.J. and Frank, M.J. (2008). A role for dopamine in temporal decision making and reward maximization in Parkinsonism. Journal of Neuroscience, 28, 12294-12304.
Frank, M.J., Santamaria, A., O'Reilly, R.C. and Willcutt, E. G. (2007). Testing computational models of dopamine and noradrenaline dysfunction in attention-deficit/hyperactivity disorder. Neuropsychopharmacology, 32, 1583-99.
Frank, M.J., Moustafa, A.A., Haughey, H.C., Curran, T. and Hutchison, K. (2007). Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning. Proceedings of the National Academy of Sciences, 104, 16311-16316.
Frank, M.J., Samanta, J., Moustafa, A.A. and Sherman, S.J. (2007). Hold your horses: Impulsivity, deep brain stimulation and medication in Parkinsonism. Science, 318, 1309-1312.
O'Reilly, R.C. and 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.
Frank, M.J., O'Reilly, R.C. and Curran, T. (2006). When memory fails, intuition reigns: Midazolam enhances implicit inference in humans. Psychological Science, 17, 700-707.
Frank, M.J. and Claus, E. (2006). Anatomy of a Decision: Striato-Orbitofrontal Interactions in Reinforcement Learning, Decision Making and Reversal. Psychological Review, 113, 300-326.
Frank, M.J. (2006). Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making. Neural Networks, 19, 1120-1136
Frank, M.J. and O'Reilly, R.C. (2006). A mechanistic account of striatal dopamine function in cognition: Psychopharmacological studies with cabergoline and haloperidol. Behavioral Neuroscience, 120, 497-517.
Frank, M.J., Woroch, B.S. & Curran, T. (2005). Error related negativity predicts reinforcement learning and conflict biases. Neuron, 47, 495-501.
Frank, M.J. (2005). Dynamic dopamine modulation in the basal ganglia: A neurocomputational account of cognitive deficits in medicated and nonmedicated Parkinsonism. Journal of Cognitive Neuroscience, 17, 51-72.
Frank, M.J., Seeberger, L.C. and O'Reilly, R.C. (2004). By carrot or by stick: Cognitive reinforcement learning in Parkinsonism. Science, 306, 1940-3.
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.
Frank, M. J., Loughry, B. & O'Reilly, R. C. (2001) Interactions between frontal cortex and basal ganglia in working memory: A computational model. Cognitive, Affective, and Behavioral Neuroscience, 1 137-160.
Radboud Excellence Professorship, Radboud University, the Netherlands, 2015
Fellow, Association for Psychological Science, 2012
Cognitive Neuroscience Society Young Investigator Award, 2011
Janet T Spence Award for Transformative Early Career Contributions, APS, 2010
Neural Networks journal award for most cited article 2006-2010
D.G. Marquis Behavioral Neuroscience Award, best paper in Behavioral Neuroscience, 2006
Dozier Award for outstanding scholarly record, University of Colorado, 2004
Association for Psychological Science
Cognitive Neuroscience Society
International Basal Ganglia Society
Society for Neuroscience
Society for Neuroeconomics
CLPS 1470 - Mechanisms of Motivated Decision Making. Spring 2017.
CLPS 1492 - Computational Cognitive Neuroscience. Fall 2014, Fall 2015, Fall 2016.