Michael J Frank
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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
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
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
Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making
MJ Frank
Neural networks 19 (8), 1120-1136, 2006
Computational psychiatry as a bridge from neuroscience to clinical applications
QJM Huys, TV Maia, MJ Frank
Nature neuroscience 19 (3), 404-413, 2016
From reinforcement learning models to psychiatric and neurological disorders
TV Maia, MJ Frank
Nature neuroscience 14 (2), 154-162, 2011
Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal.
MJ Frank, ED Claus
Psychological review 113 (2), 300, 2006
HDDM: Hierarchical Bayesian estimation of the drift-diffusion model in Python
TV Wiecki, I Sofer, MJ Frank
Frontiers in neuroinformatics, 14, 2013
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
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
Negative symptoms of schizophrenia are associated with abnormal effort-cost computations
JM Gold, GP Strauss, JA Waltz, BM Robinson, JK Brown, MJ Frank
Biological psychiatry 74 (2), 130-136, 2013
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