A citation-based method for searching scientific literature

James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
Times Cited: 512







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



Times Cited
  Times     Co-cited
Similarity


Seeing it all: Convolutional network layers map the function of the human visual system.
Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Neuroimage 2017
56
5

Multifeatural shape processing in rats engaged in invariant visual object recognition.
Alireza Alemi-Neissi, Federica Bianca Rosselli, Davide Zoccolan. J Neurosci 2013
40
7

Effects of temporal association on recognition memory.
G Wallis, H H Bülthoff. Proc Natl Acad Sci U S A 2001
119
3

Object similarity affects the perceptual strategy underlying invariant visual object recognition in rats.
Federica B Rosselli, Alireza Alemi, Alessio Ansuini, Davide Zoccolan. Front Neural Circuits 2015
17
17

A rodent model for the study of invariant visual object recognition.
Davide Zoccolan, Nadja Oertelt, James J DiCarlo, David D Cox. Proc Natl Acad Sci U S A 2009
85
3


Color in the cortex: single- and double-opponent cells.
Robert Shapley, Michael J Hawken. Vision Res 2011
135
3

Spike sorting for large, dense electrode arrays.
Cyrille Rossant, Shabnam N Kadir, Dan F M Goodman, John Schulman, Maximilian L D Hunter, Aman B Saleem, Andres Grosmark, Mariano Belluscio, George H Denfield, Alexander S Ecker,[...]. Nat Neurosci 2016
241
3



Attention during natural vision warps semantic representation across the human brain.
Tolga Çukur, Shinji Nishimoto, Alexander G Huth, Jack L Gallant. Nat Neurosci 2013
150
3


Receptive field organization of complex cells in the cat's striate cortex.
J A Movshon, I D Thompson, D J Tolhurst. J Physiol 1978
457
3

Nonlinear Processing of Shape Information in Rat Lateral Extrastriate Cortex.
Giulio Matteucci, Rosilari Bellacosa Marotti, Margherita Riggi, Federica B Rosselli, Davide Zoccolan. J Neurosci 2019
7
42





A common, high-dimensional model of the representational space in human ventral temporal cortex.
James V Haxby, J Swaroop Guntupalli, Andrew C Connolly, Yaroslav O Halchenko, Bryan R Conroy, M Ida Gobbini, Michael Hanke, Peter J Ramadge. Neuron 2011
255
3

Information-based functional brain mapping.
Nikolaus Kriegeskorte, Rainer Goebel, Peter Bandettini. Proc Natl Acad Sci U S A 2006
3

Encoding and decoding in fMRI.
Thomas Naselaris, Kendrick N Kay, Shinji Nishimoto, Jack L Gallant. Neuroimage 2011
290
3



Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
101
3

Cortical control of arm movements: a dynamical systems perspective.
Krishna V Shenoy, Maneesh Sahani, Mark M Churchland. Annu Rev Neurosci 2013
275
3

A Dynamical Systems Perspective on Flexible Motor Timing.
Evan D Remington, Seth W Egger, Devika Narain, Jing Wang, Mehrdad Jazayeri. Trends Cogn Sci 2018
29
10

A century of Gestalt psychology in visual perception: II. Conceptual and theoretical foundations.
Johan Wagemans, Jacob Feldman, Sergei Gepshtein, Ruth Kimchi, James R Pomerantz, Peter A van der Helm, Cees van Leeuwen. Psychol Bull 2012
126
3

Bayesian Computation through Cortical Latent Dynamics.
Hansem Sohn, Devika Narain, Nicolas Meirhaeghe, Mehrdad Jazayeri. Neuron 2019
15
20

Cortical travelling waves: mechanisms and computational principles.
Lyle Muller, Frédéric Chavane, John Reynolds, Terrence J Sejnowski. Nat Rev Neurosci 2018
100
3

Shape representation in the inferior temporal cortex of monkeys.
N K Logothetis, J Pauls, T Poggio. Curr Biol 1995
534
3



The unique role of the visual word form area in reading.
Stanislas Dehaene, Laurent Cohen. Trends Cogn Sci 2011
575
3

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
64
4

Cortical Areas Interact through a Communication Subspace.
João D Semedo, Amin Zandvakili, Christian K Machens, Byron M Yu, Adam Kohn. Neuron 2019
40
7

Neuroscience Needs Behavior: Correcting a Reductionist Bias.
John W Krakauer, Asif A Ghazanfar, Alex Gomez-Marin, Malcolm A MacIver, David Poeppel. Neuron 2017
321
3

Navigating the Neural Space in Search of the Neural Code.
Mehrdad Jazayeri, Arash Afraz. Neuron 2017
78
3

Robust object recognition with cortex-like mechanisms.
Thomas Serre, Lior Wolf, Stanley Bileschi, Maximilian Riesenhuber, Tomaso Poggio. IEEE Trans Pattern Anal Mach Intell 2007
302
3

A model of V4 shape selectivity and invariance.
Charles Cadieu, Minjoon Kouh, Anitha Pasupathy, Charles E Connor, Maximilian Riesenhuber, Tomaso Poggio. J Neurophysiol 2007
108
3

A distributed, hierarchical and recurrent framework for reward-based choice.
Laurence T Hunt, Benjamin Y Hayden. Nat Rev Neurosci 2017
84
3

Economic Choice as an Untangling of Options into Actions.
Seng Bum Michael Yoo, Benjamin Yost Hayden. Neuron 2018
30
10

Deep convolutional networks do not classify based on global object shape.
Nicholas Baker, Hongjing Lu, Gennady Erlikhman, Philip J Kellman. PLoS Comput Biol 2018
28
10



Comparative mapping of higher visual areas in monkeys and humans.
Guy A Orban, David Van Essen, Wim Vanduffel. Trends Cogn Sci 2004
351
3

The neural code for written words: a proposal.
Stanislas Dehaene, Laurent Cohen, Mariano Sigman, Fabien Vinckier. Trends Cogn Sci 2005
574
3


Hierarchical reasoning by neural circuits in the frontal cortex.
Morteza Sarafyazd, Mehrdad Jazayeri. Science 2019
24
12

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
73
4

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
722
3


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.