A citation-based method for searching scientific literature

H F HARLOW. Psychol Rev 1949
Times Cited: 782







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



Times Cited
  Times     Co-cited
Similarity


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
121
15

The hippocampus as a predictive map.
Kimberly L Stachenfeld, Matthew M Botvinick, Samuel J Gershman. Nat Neurosci 2017
206
14

Cognitive maps in rats and men.
E C TOLMAN. Psychol Rev 1948
13

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
189
13


Human Orbitofrontal Cortex Represents a Cognitive Map of State Space.
Nicolas W Schuck, Ming Bo Cai, Robert C Wilson, Yael Niv. Neuron 2016
184
10

Orbitofrontal cortex as a cognitive map of task space.
Robert C Wilson, Yuji K Takahashi, G Schoenbaum, Yael Niv. Neuron 2014
393
10


A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
9

Organizing conceptual knowledge in humans with a gridlike code.
Alexandra O Constantinescu, Jill X O'Reilly, Timothy E J Behrens. Science 2016
256
9


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
87
10


Structure learning in action.
Daniel A Braun, Carsten Mehring, Daniel M Wolpert. Behav Brain Res 2010
95
8

Building machines that learn and think like people.
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman. Behav Brain Sci 2017
188
8

Schemas and memory consolidation.
Dorothy Tse, Rosamund F Langston, Masaki Kakeyama, Ingrid Bethus, Patrick A Spooner, Emma R Wood, Menno P Witter, Richard G M Morris. Science 2007
622
8

Learning to learn causal models.
Charles Kemp, Noah D Goodman, Joshua B Tenenbaum. Cogn Sci 2010
32
21

Human-level concept learning through probabilistic program induction.
Brenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum. Science 2015
189
7

Learning latent structure: carving nature at its joints.
Samuel J Gershman, Yael Niv. Curr Opin Neurobiol 2010
125
7

Motor task variation induces structural learning.
Daniel A Braun, Ad Aertsen, Daniel M Wolpert, Carsten Mehring. Curr Biol 2009
140
6

Human-level control through deep reinforcement learning.
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski,[...]. Nature 2015
930
6

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
730
6

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
81
7

The ubiquity of model-based reinforcement learning.
Bradley B Doll, Dylan A Simon, Nathaniel D Daw. Curr Opin Neurobiol 2012
160
6

Reinforcement Learning, Fast and Slow.
Matthew Botvinick, Sam Ritter, Jane X Wang, Zeb Kurth-Nelson, Charles Blundell, Demis Hassabis. Trends Cogn Sci 2019
68
8



A dynamic code for economic object valuation in prefrontal cortex neurons.
Ken-Ichiro Tsutsui, Fabian Grabenhorst, Shunsuke Kobayashi, Wolfram Schultz. Nat Commun 2016
31
16

Hippocampal place cells construct reward related sequences through unexplored space.
H Freyja Ólafsdóttir, Caswell Barry, Aman B Saleem, Demis Hassabis, Hugo J Spiers. Elife 2015
112
5

Frontal cortex and the discovery of abstract action rules.
David Badre, Andrew S Kayser, Mark D'Esposito. Neuron 2010
175
5

The neural basis of reversal learning: An updated perspective.
A Izquierdo, J L Brigman, A K Radke, P H Rudebeck, A Holmes. Neuroscience 2017
222
5



Neurons in the orbitofrontal cortex encode economic value.
Camillo Padoa-Schioppa, John A Assad. Nature 2006
865
5

Learning the value of information in an uncertain world.
Timothy E J Behrens, Mark W Woolrich, Mark E Walton, Matthew F S Rushworth. Nat Neurosci 2007
969
5


Perceptual Learning Generalization from Sequential Perceptual Training as a Change in Learning Rate.
Florian Kattner, Aaron Cochrane, Christopher R Cox, Thomas E Gorman, C Shawn Green. Curr Biol 2017
20
25

Action video game play facilitates the development of better perceptual templates.
Vikranth R Bejjanki, Ruyuan Zhang, Renjie Li, Alexandre Pouget, C Shawn Green, Zhong-Lin Lu, Daphne Bavelier. Proc Natl Acad Sci U S A 2014
71
7


Studies in spatial learning: Orientation and the short-cut.
E C TOLMAN, B F RITCHIE, D KALISH. J Exp Psychol 1946
126
5

Cortical substrates for exploratory decisions in humans.
Nathaniel D Daw, John P O'Doherty, Peter Dayan, Ben Seymour, Raymond J Dolan. Nature 2006
5

How to grow a mind: statistics, structure, and abstraction.
Joshua B Tenenbaum, Charles Kemp, Thomas L Griffiths, Noah D Goodman. Science 2011
425
5

Brain plasticity through the life span: learning to learn and action video games.
Daphne Bavelier, C Shawn Green, Alexandre Pouget, Paul Schrater. Annu Rev Neurosci 2012
183
5

The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation.
James C R Whittington, Timothy H Muller, Shirley Mark, Guifen Chen, Caswell Barry, Neil Burgess, Timothy E J Behrens. Cell 2020
57
8

Deep Reinforcement Learning and Its Neuroscientific Implications.
Matthew Botvinick, Jane X Wang, Will Dabney, Kevin J Miller, Zeb Kurth-Nelson. Neuron 2020
25
20



Mastering the game of Go with deep neural networks and tree search.
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot,[...]. Nature 2016
996
4

Core knowledge.
Elizabeth S Spelke, Katherine D Kinzler. Dev Sci 2007
333
4

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
379
4


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.