Michael J Frank
Michael J Frank
Professor, Director Center for Computational Brain Science, Brown University
Verified email at - Homepage
Cited by
Cited by
By carrot or by stick: cognitive reinforcement learning in parkinsonism
MJ Frank, LC Seeberger, RC O'reilly
Science 306 (5703), 1940-1943, 2004
Frontal theta as a mechanism for cognitive control
JF Cavanagh, MJ Frank
Trends in cognitive sciences 18 (8), 414-421, 2014
Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia
RC O'Reilly, MJ Frank
Neural computation 18 (2), 283-328, 2006
Hold your horses: impulsivity, deep brain stimulation, and medication in parkinsonism
MJ Frank, J Samanta, AA Moustafa, SJ Sherman
science 318 (5854), 1309-1312, 2007
Triangulating a cognitive control network using diffusion-weighted magnetic resonance imaging (MRI) and functional MRI
AR Aron, TE Behrens, S Smith, MJ Frank, RA Poldrack
Journal of Neuroscience 27 (14), 3743-3752, 2007
Interactions between frontal cortex and basal ganglia in working memory: a computational model
MJ Frank, B Loughry, RC O’Reilly
Cognitive, Affective, & Behavioral Neuroscience 1 (2), 137-160, 2001
Dynamic dopamine modulation in the basal ganglia: a neurocomputational account of cognitive deficits in medicated and nonmedicated Parkinsonism
MJ Frank
Journal of cognitive neuroscience 17 (1), 51-72, 2005
Computational psychiatry as a bridge from neuroscience to clinical applications
QJM Huys, TV Maia, MJ Frank
Nature neuroscience 19 (3), 404-413, 2016
HDDM: Hierarchical Bayesian estimation of the drift-diffusion model in Python
TV Wiecki, I Sofer, MJ Frank
Frontiers in neuroinformatics 7, 55610, 2013
From reinforcement learning models to psychiatric and neurological disorders
TV Maia, MJ Frank
Nature neuroscience 14 (2), 154-162, 2011
Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making
MJ Frank
Neural networks 19 (8), 1120-1136, 2006
Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning
MJ Frank, AA Moustafa, HM Haughey, T Curran, KE Hutchison
Proceedings of the National Academy of Sciences 104 (41), 16311-16316, 2007
Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal.
MJ Frank, ED Claus
Psychological review 113 (2), 300, 2006
Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold
JF Cavanagh, TV Wiecki, MX Cohen, CM Figueroa, J Samanta, ...
Nature neuroscience 14 (11), 1462-1467, 2011
A mechanistic account of striatal dopamine function in human cognition: psychopharmacological studies with cabergoline and haloperidol.
MJ Frank, RC O'Reilly
Behavioral neuroscience 120 (3), 497, 2006
Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system
TE Hazy, MJ Frank, RC O'reilly
Philosophical Transactions of the Royal Society B: Biological Sciences 362 …, 2007
Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation
MJ Frank, BB Doll, J Oas-Terpstra, F Moreno
Nature neuroscience 12 (8), 1062-1068, 2009
Error-related negativity predicts reinforcement learning and conflict biases
MJ Frank, BS Woroch, T Curran
Neuron 47 (4), 495-501, 2005
Frontal theta links prediction errors to behavioral adaptation in reinforcement learning
JF Cavanagh, MJ Frank, TJ Klein, JJB Allen
Neuroimage 49 (4), 3198-3209, 2010
How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis
AGE Collins, MJ Frank
European Journal of Neuroscience 35 (7), 1024-1035, 2012
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