A citation-based method for searching scientific literature

Anne G E Collins, Jeffrey Cockburn. Nat Rev Neurosci 2020
Times Cited: 10







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



Times Cited
  Times     Co-cited
Similarity



Orbitofrontal cortex as a cognitive map of task space.
Robert C Wilson, Yuji K Takahashi, G Schoenbaum, Yael Niv. Neuron 2014
380
60

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
694
50

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
89
40

Speed/accuracy trade-off between the habitual and the goal-directed processes.
Mehdi Keramati, Amir Dezfouli, Payam Piray. PLoS Comput Biol 2011
162
40

The ubiquity of model-based reinforcement learning.
Bradley B Doll, Dylan A Simon, Nathaniel D Daw. Curr Opin Neurobiol 2012
150
40

Neural computations underlying arbitration between model-based and model-free learning.
Sang Wan Lee, Shinsuke Shimojo, John P O'Doherty. Neuron 2014
233
40

Task representations in neural networks trained to perform many cognitive tasks.
Guangyu Robert Yang, Madhura R Joglekar, H Francis Song, William T Newsome, Xiao-Jing Wang. Nat Neurosci 2019
69
30

Learning task-state representations.
Yael Niv. Nat Neurosci 2019
52
30

Where Does Value Come From?
Keno Juechems, Christopher Summerfield. Trends Cogn Sci 2019
21
30

What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior.
Timothy E J Behrens, Timothy H Muller, James C R Whittington, Shirley Mark, Alon B Baram, Kimberly L Stachenfeld, Zeb Kurth-Nelson. Neuron 2018
164
30

Model-based choices involve prospective neural activity.
Bradley B Doll, Katherine D Duncan, Dylan A Simon, Daphna Shohamy, Nathaniel D Daw. Nat Neurosci 2015
121
30

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
75
30


A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
30

Dopamine transients are sufficient and necessary for acquisition of model-based associations.
Melissa J Sharpe, Chun Yun Chang, Melissa A Liu, Hannah M Batchelor, Lauren E Mueller, Joshua L Jones, Yael Niv, Geoffrey Schoenbaum. Nat Neurosci 2017
88
30


A neural signature of hierarchical reinforcement learning.
José J F Ribas-Fernandes, Alec Solway, Carlos Diuk, Joseph T McGuire, Andrew G Barto, Yael Niv, Matthew M Botvinick. Neuron 2011
91
30

Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments.
Yuan Chang Leong, Angela Radulescu, Reka Daniel, Vivian DeWoskin, Yael Niv. Neuron 2017
97
30

Human Orbitofrontal Cortex Represents a Cognitive Map of State Space.
Nicolas W Schuck, Ming Bo Cai, Robert C Wilson, Yael Niv. Neuron 2016
176
30

Separable learning systems in the macaque brain and the role of orbitofrontal cortex in contingent learning.
Mark E Walton, Timothy E J Behrens, Mark J Buckley, Peter H Rudebeck, Matthew F S Rushworth. Neuron 2010
248
30


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
631
30

What the orbitofrontal cortex does not do.
Thomas A Stalnaker, Nisha K Cooch, Geoffrey Schoenbaum. Nat Neurosci 2015
261
30


Multiple model-based reinforcement learning.
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato. Neural Comput 2002
136
30

Transformation of stimulus value signals into motor commands during simple choice.
Todd A Hare, Wolfram Schultz, Colin F Camerer, John P O'Doherty, Antonio Rangel. Proc Natl Acad Sci U S A 2011
190
30


The architecture of cognitive control in the human prefrontal cortex.
Etienne Koechlin, Chrystèle Ody, Frédérique Kouneiher. Science 2003
30


Representation of action-specific reward values in the striatum.
Kazuyuki Samejima, Yasumasa Ueda, Kenji Doya, Minoru Kimura. Science 2005
552
30




Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems.
Wouter Kool, Samuel J Gershman, Fiery A Cushman. Psychol Sci 2017
61
20

Toward a Rational and Mechanistic Account of Mental Effort.
Amitai Shenhav, Sebastian Musslick, Falk Lieder, Wouter Kool, Thomas L Griffiths, Jonathan D Cohen, Matthew M Botvinick. Annu Rev Neurosci 2017
233
20

Frontal Cortex and the Hierarchical Control of Behavior.
David Badre, Derek Evan Nee. Trends Cogn Sci 2018
140
20

Rewards and Cognitive Control in the Human Prefrontal Cortex.
Sandrine Duverne, Etienne Koechlin. Cereb Cortex 2017
28
20

Discovery of hierarchical representations for efficient planning.
Momchil S Tomov, Samyukta Yagati, Agni Kumar, Wanqian Yang, Samuel J Gershman. PLoS Comput Biol 2020
8
25

Prefrontal cortex as a meta-reinforcement learning system.
Jane X Wang, Zeb Kurth-Nelson, Dharshan Kumaran, Dhruva Tirumala, Hubert Soyer, Joel Z Leibo, Demis Hassabis, Matthew Botvinick. Nat Neurosci 2018
105
20

Network resets in medial prefrontal cortex mark the onset of behavioral uncertainty.
Mattias P Karlsson, Dougal G R Tervo, Alla Y Karpova. Science 2012
114
20

Value, search, persistence and model updating in anterior cingulate cortex.
Nils Kolling, Marco K Wittmann, Tim E J Behrens, Erie D Boorman, Rogier B Mars, Matthew F S Rushworth. Nat Neurosci 2016
184
20

Neural mechanisms resolving exploitation-exploration dilemmas in the medial prefrontal cortex.
Philippe Domenech, Sylvain Rheims, Etienne Koechlin. Science 2020
12
20

Deciding How To Decide: Self-Control and Meta-Decision Making.
Y-Lan Boureau, Peter Sokol-Hessner, Nathaniel D Daw. Trends Cogn Sci 2015
67
20



Retrospective model-based inference guides model-free credit assignment.
Rani Moran, Mehdi Keramati, Peter Dayan, Raymond J Dolan. Nat Commun 2019
14
20

Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons.
Ben Engelhard, Joel Finkelstein, Julia Cox, Weston Fleming, Hee Jae Jang, Sharon Ornelas, Sue Ann Koay, Stephan Y Thiberge, Nathaniel D Daw, David W Tank,[...]. Nature 2019
105
20


Model-based predictions for dopamine.
Angela J Langdon, Melissa J Sharpe, Geoffrey Schoenbaum, Yael Niv. Curr Opin Neurobiol 2018
43
20


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.