A citation-based method for searching scientific literature

Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman. Behav Brain Sci 2017
Times Cited: 200







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



Times Cited
  Times     Co-cited
Similarity


Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
22

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
959
20

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
129
18

Human-level concept learning through probabilistic program induction.
Brenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum. Science 2015
191
17

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
13

Core knowledge.
Elizabeth S Spelke, Katherine D Kinzler. Dev Sci 2007
342
13

Reinforcement Learning, Fast and Slow.
Matthew Botvinick, Sam Ritter, Jane X Wang, Zeb Kurth-Nelson, Charles Blundell, Demis Hassabis. Trends Cogn Sci 2019
74
17

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
392
13

Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
530
13

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
396
12

How to grow a mind: statistics, structure, and abstraction.
Joshua B Tenenbaum, Charles Kemp, Thomas L Griffiths, Noah D Goodman. Science 2011
434
11

A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
11

Neuroscience-Inspired Artificial Intelligence.
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick. Neuron 2017
218
10


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
10

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
197
9


A deep learning framework for neuroscience.
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli,[...]. Nat Neurosci 2019
160
9




Hybrid computing using a neural network with dynamic external memory.
Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwińska, Sergio Gómez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou,[...]. Nature 2016
104
7

The hippocampus as a predictive map.
Kimberly L Stachenfeld, Matthew M Botvinick, Samuel J Gershman. Nat Neurosci 2017
213
7

Cognitive maps in rats and men.
E C TOLMAN. Psychol Rev 1948
7



Simulation as an engine of physical scene understanding.
Peter W Battaglia, Jessica B Hamrick, Joshua B Tenenbaum. Proc Natl Acad Sci U S A 2013
131
7

Neural representations of events arise from temporal community structure.
Anna C Schapiro, Timothy T Rogers, Natalia I Cordova, Nicholas B Turk-Browne, Matthew M Botvinick. Nat Neurosci 2013
149
7

Neural scene representation and rendering.
S M Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, Fabio Viola, Ari S Morcos, Marta Garnelo, Avraham Ruderman, Andrei A Rusu, Ivo Danihelka, Karol Gregor,[...]. Science 2018
44
15

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
83
8

A rational analysis of rule-based concept learning.
Noah D Goodman, Joshua B Tenenbaum, Jacob Feldman, Thomas L Griffiths. Cogn Sci 2008
113
7

A large-scale model of the functioning brain.
Chris Eliasmith, Terrence C Stewart, Xuan Choo, Trevor Bekolay, Travis DeWolf, Yichuan Tang, Daniel Rasmussen. Science 2012
244
6

What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated.
Dharshan Kumaran, Demis Hassabis, James L McClelland. Trends Cogn Sci 2016
140
6



A theory of causal learning in children: causal maps and Bayes nets.
Alison Gopnik, Clark Glymour, David M Sobel, Laura E Schulz, Tamar Kushnir, David Danks. Psychol Rev 2004
321
6


Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
609
6

The formation of learning sets.
H F HARLOW. Psychol Rev 1949
782
6

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
6

Backpropagation and the brain.
Timothy P Lillicrap, Adam Santoro, Luke Marris, Colin J Akerman, Geoffrey Hinton. Nat Rev Neurosci 2020
90
6

The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex.
Silvia Bernardi, Marcus K Benna, Mattia Rigotti, Jérôme Munuera, Stefano Fusi, C Daniel Salzman. Cell 2020
32
18

The importance of mixed selectivity in complex cognitive tasks.
Mattia Rigotti, Omri Barak, Melissa R Warden, Xiao-Jing Wang, Nathaniel D Daw, Earl K Miller, Stefano Fusi. Nature 2013
605
5

A map of abstract relational knowledge in the human hippocampal-entorhinal cortex.
Mona M Garvert, Raymond J Dolan, Timothy Ej Behrens. Elife 2017
107
5

An integrative theory of prefrontal cortex function.
E K Miller, J D Cohen. Annu Rev Neurosci 2001
5

Model-based hierarchical reinforcement learning and human action control.
Matthew Botvinick, Ari Weinstein. Philos Trans R Soc Lond B Biol Sci 2014
58
8



Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
5

A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy.
Alexander J E Kell, Daniel L K Yamins, Erica N Shook, Sam V Norman-Haignere, Josh H McDermott. Neuron 2018
106
5


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.