A citation-based method for searching scientific literature

The ubiquity of model-based reinforcement learning.
Bradley B Doll, Dylan A Simon, Nathaniel D Daw. Curr Opin Neurobiol 2012
Times Cited: 165






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List of co-cited articles
1157 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Model-based influences on humans' choices and striatal prediction errors.
Nathaniel D Daw, Samuel J Gershman, Ben Seymour, Peter Dayan, Raymond J Dolan. Neuron 2011
741
53
53

Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control.
Nathaniel D Daw, Yael Niv, Peter Dayan. Nat Neurosci 2005
1159
39
39

States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning.
Jan Gläscher, Nathaniel Daw, Peter Dayan, John P O'Doherty. Neuron 2010
577
38
38

A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
4596
33
33

Goals and habits in the brain.
Ray J Dolan, Peter Dayan. Neuron 2013
432
24
24

Neural computations underlying arbitration between model-based and model-free learning.
Sang Wan Lee, Shinsuke Shimojo, John P O'Doherty. Neuron 2014
256
20
20

Human and rodent homologies in action control: corticostriatal determinants of goal-directed and habitual action.
Bernard W Balleine, John P O'Doherty. Neuropsychopharmacology 2010
980
19
19

Orbitofrontal cortex as a cognitive map of task space.
Robert C Wilson, Yuji K Takahashi, G Schoenbaum, Yael Niv. Neuron 2014
399
19
19

Cognitive maps in rats and men.
E C TOLMAN. Psychol Rev 1948
1586
16
16

Model-based choices involve prospective neural activity.
Bradley B Doll, Katherine D Duncan, Dylan A Simon, Daphna Shohamy, Nathaniel D Daw. Nat Neurosci 2015
129
16
16

Model-based and model-free Pavlovian reward learning: revaluation, revision, and revelation.
Peter Dayan, Kent C Berridge. Cogn Affect Behav Neurosci 2014
148
16
16

Dopamine enhances model-based over model-free choice behavior.
Klaus Wunderlich, Peter Smittenaar, Raymond J Dolan. Neuron 2012
145
15
15

Dissociable roles of ventral and dorsal striatum in instrumental conditioning.
John O'Doherty, Peter Dayan, Johannes Schultz, Ralf Deichmann, Karl Friston, Raymond J Dolan. Science 2004
1346
15
15

The curse of planning: dissecting multiple reinforcement-learning systems by taxing the central executive.
A Ross Otto, Samuel J Gershman, Arthur B Markman, Nathaniel D Daw. Psychol Sci 2013
163
14
14

Ventral striatal dopamine reflects behavioral and neural signatures of model-based control during sequential decision making.
Lorenz Deserno, Quentin J M Huys, Rebecca Boehme, Ralph Buchert, Hans-Jochen Heinze, Anthony A Grace, Raymond J Dolan, Andreas Heinz, Florian Schlagenhauf. Proc Natl Acad Sci U S A 2015
121
14
14

Human Orbitofrontal Cortex Represents a Cognitive Map of State Space.
Nicolas W Schuck, Ming Bo Cai, Robert C Wilson, Yael Niv. Neuron 2016
192
14
14

Neurons in the orbitofrontal cortex encode economic value.
Camillo Padoa-Schioppa, John A Assad. Nature 2006
872
13
13

Working-memory capacity protects model-based learning from stress.
A Ross Otto, Candace M Raio, Alice Chiang, Elizabeth A Phelps, Nathaniel D Daw. Proc Natl Acad Sci U S A 2013
227
13
13

By carrot or by stick: cognitive reinforcement learning in parkinsonism.
Michael J Frank, Lauren C Seeberger, Randall C O'reilly. Science 2004
1203
12
12

Habits, action sequences and reinforcement learning.
Amir Dezfouli, Bernard W Balleine. Eur J Neurosci 2012
136
12
12

Goal-directed instrumental action: contingency and incentive learning and their cortical substrates.
B W Balleine, A Dickinson. Neuropharmacology 1998
881
12
12

Cognitive control predicts use of model-based reinforcement learning.
A Ross Otto, Anya Skatova, Seth Madlon-Kay, Nathaniel D Daw. J Cogn Neurosci 2015
81
11
13

The role of the basal ganglia in habit formation.
Henry H Yin, Barbara J Knowlton. Nat Rev Neurosci 2006
1286
11
11

Orbitofrontal and striatal circuits dynamically encode the shift between goal-directed and habitual actions.
Christina M Gremel, Rui M Costa. Nat Commun 2013
329
11
11

How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis.
Anne G E Collins, Michael J Frank. Eur J Neurosci 2012
162
11
11

The algorithmic anatomy of model-based evaluation.
Nathaniel D Daw, Peter Dayan. Philos Trans R Soc Lond B Biol Sci 2014
80
11
13

Neural correlates of forward planning in a spatial decision task in humans.
Dylan Alexander Simon, Nathaniel D Daw. J Neurosci 2011
108
11
11

The role of the dorsomedial striatum in instrumental conditioning.
Henry H Yin, Sean B Ostlund, Barbara J Knowlton, Bernard W Balleine. Eur J Neurosci 2005
652
10
10

Speed/accuracy trade-off between the habitual and the goal-directed processes.
Mehdi Keramati, Amir Dezfouli, Payam Piray. PLoS Comput Biol 2011
167
10
10

A specific role for posterior dorsolateral striatum in human habit learning.
Elizabeth Tricomi, Bernard W Balleine, John P O'Doherty. Eur J Neurosci 2009
392
10
10

Lesions of dorsolateral striatum preserve outcome expectancy but disrupt habit formation in instrumental learning.
Henry H Yin, Barbara J Knowlton, Bernard W Balleine. Eur J Neurosci 2004
752
10
10

Model-based learning protects against forming habits.
Claire M Gillan, A Ross Otto, Elizabeth A Phelps, Nathaniel D Daw. Cogn Affect Behav Neurosci 2015
90
10
11

Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task.
Thomas Akam, Rui Costa, Peter Dayan. PLoS Comput Biol 2015
45
10
22

Dorsal hippocampus contributes to model-based planning.
Kevin J Miller, Matthew M Botvinick, Carlos D Brody. Nat Neurosci 2017
74
10
13

The successor representation in human reinforcement learning.
I Momennejad, E M Russek, J H Cheong, M M Botvinick, N D Daw, S J Gershman. Nat Hum Behav 2017
92
10
10

Retrospective revaluation in sequential decision making: a tale of two systems.
Samuel J Gershman, Arthur B Markman, A Ross Otto. J Exp Psychol Gen 2014
96
9
9

Actions, action sequences and habits: evidence that goal-directed and habitual action control are hierarchically organized.
Amir Dezfouli, Bernard W Balleine. PLoS Comput Biol 2013
95
9
9

Of goals and habits: age-related and individual differences in goal-directed decision-making.
Ben Eppinger, Maik Walter, Hauke R Heekeren, Shu-Chen Li. Front Neurosci 2013
64
9
14

Neural ensembles in CA3 transiently encode paths forward of the animal at a decision point.
Adam Johnson, A David Redish. J Neurosci 2007
522
9
9

Temporal difference models and reward-related learning in the human brain.
John P O'Doherty, Peter Dayan, Karl Friston, Hugo Critchley, Raymond J Dolan. Neuron 2003
941
9
9

The reward circuit: linking primate anatomy and human imaging.
Suzanne N Haber, Brian Knutson. Neuropsychopharmacology 2010
2032
9
9

Value representations in the primate striatum during matching behavior.
Brian Lau, Paul W Glimcher. Neuron 2008
250
9
9

Reinforcement learning: the good, the bad and the ugly.
Peter Dayan, Yael Niv. Curr Opin Neurobiol 2008
228
9
9

Decoding subjective decisions from orbitofrontal cortex.
Erin L Rich, Jonathan D Wallis. Nat Neurosci 2016
160
9
9

Dopamine reward prediction errors reflect hidden-state inference across time.
Clara Kwon Starkweather, Benedicte M Babayan, Naoshige Uchida, Samuel J Gershman. Nat Neurosci 2017
68
9
13

Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems.
Wouter Kool, Samuel J Gershman, Fiery A Cushman. Psychol Sci 2017
72
9
12

Predictive representations can link model-based reinforcement learning to model-free mechanisms.
Evan M Russek, Ida Momennejad, Matthew M Botvinick, Samuel J Gershman, Nathaniel D Daw. PLoS Comput Biol 2017
85
9
10

Vicarious trial and error.
A David Redish. Nat Rev Neurosci 2016
161
9
9

Model-based predictions for dopamine.
Angela J Langdon, Melissa J Sharpe, Geoffrey Schoenbaum, Yael Niv. Curr Opin Neurobiol 2018
49
9
18

Temporal prediction errors in a passive learning task activate human striatum.
Samuel M McClure, Gregory S Berns, P Read Montague. Neuron 2003
605
8
8


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.

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