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The Expected Value of Control: An Integrative Theory of Anterior Cingulate Cortex Function

Neuron (Cambridge, Mass.), 2013-07, Vol.79 (2), p.217-240

2013

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Motivation and Cognitive Control: From Behavior to Neural Mechanism

Annual review of psychology, 2015-01, Vol.66 (1), p.83-113

2015

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Hierarchical models of behavior and prefrontal function

Trends in cognitive sciences, 2008-05, Vol.12 (5), p.201-208

Botvinick, Matthew M

2008

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Dorsal anterior cingulate cortex and the value of control

Nature neuroscience, 2016-10, Vol.19 (10), p.1286-1291

2016

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Hierarchical motor control in mammals and machines

Nature communications, 2019-12, Vol.10 (1), p.5489-12, Article 5489

2019

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The hippocampus as a predictive map

Nature neuroscience, 2017-11, Vol.20 (11), p.1643-1653

2017

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Realizing the promise of AI: a new calling for cognitive science

Trends in cognitive sciences, 2022-12, Vol.26 (12), p.1013-1014

Botvinick, Matthew M

2022

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Predictive representations can link model-based reinforcement learning to model-free mechanisms

PLoS computational biology, 2017-09, Vol.13 (9), p.e1005768-e1005768

2017

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Rats and Humans Can Optimally Accumulate Evidence for Decision-Making

Science (American Association for the Advancement of Science), 2013-04, Vol.340 (6128), p.95-98

2013

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Toward a Rational and Mechanistic Account of Mental Effort

Annual review of neuroscience, 2017-07, Vol.40 (1), p.99-124

2017

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The Computational and Neural Basis of Cognitive Control: Charted Territory and New Frontiers

Cognitive science, 2014-08, Vol.38 (6), p.1249-1285

2014

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Conflict monitoring and decision making : Reconciling two perspectives on anterior cingulate function

Cognitive, affective, & behavioral neuroscience, 2007-12, Vol.7 (4), p.356-366

BOTVINICK, Matthew M

2007

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Machine learning classifiers and fMRI: A tutorial overview

NeuroImage (Orlando, Fla.), 2009-03, Vol.45 (1), p.S199-S209

2009

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Dorsal hippocampus contributes to model-based planning

Nature neuroscience, 2017-09, Vol.20 (9), p.1269-1276

2017

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A distributional code for value in dopamine-based reinforcement learning

Nature (London), 2020-01, Vol.577 (7792), p.671-675

2020

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Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning

Philosophical transactions of the Royal Society of London. Series B. Biological sciences, 2017-01, Vol.372 (1711), p.20160049

2017

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A Neural Signature of Hierarchical Reinforcement Learning

Neuron (Cambridge, Mass.), 2011-07, Vol.71 (2), p.370-379

2011

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Decision Making and the Avoidance of Cognitive Demand

Journal of experimental psychology. General, 2010-11, Vol.139 (4), p.665-682

2010

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Us Versus Them: Social Identity Shapes Neural Responses to Intergroup Competition and Harm

Psychological science, 2011-03, Vol.22 (3), p.306-313

2011

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Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective

Cognition, 2009-12, Vol.113 (3), p.262-280

2009

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Anterior cingulate engagement in a foraging context reflects choice difficulty, not foraging value

Nature neuroscience, 2014-09, Vol.17 (9), p.1249-1254

2014

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Toward a universal decoder of linguistic meaning from brain activation

Nature communications, 2018-03, Vol.9 (1), p.963-13, Article 963

2018

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Deep Reinforcement Learning and Its Neuroscientific Implications

Neuron (Cambridge, Mass.), 2020-08, Vol.107 (4), p.603-616

2020

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Hierarchical reinforcement learning and decision making

Current opinion in neurobiology, 2012-12, Vol.22 (6), p.956-962

Botvinick, Matthew Michael

2012

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Goal-Directed Decision Making as Probabilistic Inference: A Computational Framework and Potential Neural Correlates

Psychological review, 2012-01, Vol.119 (1), p.120-154

2012

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The Expected Value of Control: An Integrative Theory of Anterior Cingulate Cortex Function

Motivation and Cognitive Control: From Behavior to Neural Mechanism

Hierarchical models of behavior and prefrontal function

Dorsal anterior cingulate cortex and the value of control

Hierarchical motor control in mammals and machines

The hippocampus as a predictive map

Realizing the promise of AI: a new calling for cognitive science

Predictive representations can link model-based reinforcement learning to model-free mechanisms

Rats and Humans Can Optimally Accumulate Evidence for Decision-Making

Toward a Rational and Mechanistic Account of Mental Effort

The Computational and Neural Basis of Cognitive Control: Charted Territory and New Frontiers

Conflict monitoring and decision making : Reconciling two perspectives on anterior cingulate function

Machine learning classifiers and fMRI: A tutorial overview

Dorsal hippocampus contributes to model-based planning

A distributional code for value in dopamine-based reinforcement learning

Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning

A Neural Signature of Hierarchical Reinforcement Learning

Decision Making and the Avoidance of Cognitive Demand

Us Versus Them: Social Identity Shapes Neural Responses to Intergroup Competition and Harm

Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective

Anterior cingulate engagement in a foraging context reflects choice difficulty, not foraging value

Toward a universal decoder of linguistic meaning from brain activation

Deep Reinforcement Learning and Its Neuroscientific Implications

Hierarchical reinforcement learning and decision making

Goal-Directed Decision Making as Probabilistic Inference: A Computational Framework and Potential Neural Correlates

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