A citation-based method for searching scientific literature

Irving Biederman. Psychol Rev 1987
Times Cited: 1771







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



Times Cited
  Times     Co-cited
Similarity




How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
512
13

Parts of recognition.
D D Hoffman, W A Richards. Cognition 1984
353
9

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
9

Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks.
Rishi Rajalingham, Elias B Issa, Pouya Bashivan, Kohitij Kar, Kailyn Schmidt, James J DiCarlo. J Neurosci 2018
66
13


Bayesian estimation of the shape skeleton.
Jacob Feldman, Manish Singh. Proc Natl Acad Sci U S A 2006
70
11

Deep Neural Networks as a Computational Model for Human Shape Sensitivity.
Jonas Kubilius, Stefania Bracci, Hans P Op de Beeck. PLoS Comput Biol 2016
73
10

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
414
8

Speed of processing in the human visual system.
S Thorpe, D Fize, C Marlot. Nature 1996
7

A feedforward architecture accounts for rapid categorization.
Thomas Serre, Aude Oliva, Tomaso Poggio. Proc Natl Acad Sci U S A 2007
405
7

Distributed and overlapping representations of faces and objects in ventral temporal cortex.
J V Haxby, M I Gobbini, M L Furey, A Ishai, J L Schouten, P Pietrini. Science 2001
7

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
25

A feature-integration theory of attention.
A M Treisman, G Gelade. Cogn Psychol 1980
7

Simple line drawings suffice for functional MRI decoding of natural scene categories.
Dirk B Walther, Barry Chai, Eamon Caddigan, Diane M Beck, Li Fei-Fei. Proc Natl Acad Sci U S A 2011
88
6


Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
6


Visual objects in context.
Moshe Bar. Nat Rev Neurosci 2004
711
6


A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure-ground organization.
Johan Wagemans, James H Elder, Michael Kubovy, Stephen E Palmer, Mary A Peterson, Manish Singh, Rüdiger von der Heydt. Psychol Bull 2012
332
5


Cortical representation of medial axis structure.
Mark D Lescroart, Irving Biederman. Cereb Cortex 2013
26
19

Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex.
R Malach, J B Reppas, R R Benson, K K Kwong, H Jiang, W A Kennedy, P J Ledden, T J Brady, B R Rosen, R B Tootell. Proc Natl Acad Sci U S A 1995
5

A neural code for three-dimensional object shape in macaque inferotemporal cortex.
Yukako Yamane, Eric T Carlson, Katherine C Bowman, Zhihong Wang, Charles E Connor. Nat Neurosci 2008
156
5

Top-down facilitation of visual recognition.
M Bar, K S Kassam, A S Ghuman, J Boshyan, A M Schmid, A M Dale, M S Hämäläinen, K Marinkovic, D L Schacter, B R Rosen,[...]. Proc Natl Acad Sci U S A 2006
847
5

The role of color in high-level vision.
J Tanaka, D Weiskopf, P Williams. Trends Cogn Sci 2001
122
5


What attributes guide the deployment of visual attention and how do they do it?
Jeremy M Wolfe, Todd S Horowitz. Nat Rev Neurosci 2004
601
5

Separate visual pathways for perception and action.
M A Goodale, A D Milner. Trends Neurosci 1992
5

On the role of medial geometry in human vision.
Benjamin B Kimia. J Physiol Paris 2003
24
20



Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
335
5

Visual perception of shape altered by inferred causal history.
Patrick Spröte, Filipp Schmidt, Roland W Fleming. Sci Rep 2016
15
33

Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments.
Kamila M Jozwik, Nikolaus Kriegeskorte, Katherine R Storrs, Marieke Mur. Front Psychol 2017
29
17


Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence.
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva. Sci Rep 2016
155
5

Deep neural networks rival the representation of primate IT cortex for core visual object recognition.
Charles F Cadieu, Ha Hong, Daniel L K Yamins, Nicolas Pinto, Diego Ardila, Ethan A Solomon, Najib J Majaj, James J DiCarlo. PLoS Comput Biol 2014
173
5

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
296
5

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
309
5

Information along contours and object boundaries.
Jacob Feldman, Manish Singh. Psychol Rev 2005
87
5

Human-level concept learning through probabilistic program induction.
Brenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum. Science 2015
147
5


PsychoPy--Psychophysics software in Python.
Jonathan W Peirce. J Neurosci Methods 2007
4


Superordinate shape classification using natural shape statistics.
John Wilder, Jacob Feldman, Manish Singh. Cognition 2011
19
21




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.