A citation-based method for searching scientific literature

Irving Biederman. Psychol Rev 1987
Times Cited: 1787







List of co-cited articles
561 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
548
11

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
480
9

Deep convolutional networks do not classify based on global object shape.
Nicholas Baker, Hongjing Lu, Gennady Erlikhman, Philip J Kellman. PLoS Comput Biol 2018
38
23


Parts of recognition.
D D Hoffman, W A Richards. Cognition 1984
356
8

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
8

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
8

Deep Neural Networks as a Computational Model for Human Shape Sensitivity.
Jonas Kubilius, Stefania Bracci, Hans P Op de Beeck. PLoS Comput Biol 2016
80
10

A feature-integration theory of attention.
A M Treisman, G Gelade. Cogn Psychol 1980
8

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
356
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
98
7

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
82
8

Information along contours and object boundaries.
Jacob Feldman, Manish Singh. Psychol Rev 2005
89
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

Speed of processing in the human visual system.
S Thorpe, D Fize, C Marlot. Nature 1996
6

Bayesian estimation of the shape skeleton.
Jacob Feldman, Manish Singh. Proc Natl Acad Sci U S A 2006
75
8


A feedforward architecture accounts for rapid categorization.
Thomas Serre, Aude Oliva, Tomaso Poggio. Proc Natl Acad Sci U S A 2007
417
6


Local contour symmetry facilitates scene categorization.
John Wilder, Morteza Rezanejad, Sven Dickinson, Kaleem Siddiqi, Allan Jepson, Dirk B Walther. Cognition 2019
11
54


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
186
6

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
197
6

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
359
6


Human-level concept learning through probabilistic program induction.
Brenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum. Science 2015
175
6


PsychoPy--Psychophysics software in Python.
Jonathan W Peirce. J Neurosci Methods 2007
5

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

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
880
5

Early differential sensitivity of evoked-potentials to local and global shape during the perception of three-dimensional objects.
E Charles Leek, Mark Roberts, Zoe J Oliver, Filipe Cristino, Alan J Pegna. Neuropsychologia 2016
9
55

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


The many faces of configural processing.
Daphne Maurer, Richard Le Grand, Catherine J. Mondloch. Trends Cogn Sci 2002
5


Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
351
5

Seeing it all: Convolutional network layers map the function of the human visual system.
Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Neuroimage 2017
68
7

A neurological dissociation between perceiving objects and grasping them.
M A Goodale, A D Milner, L S Jakobson, D P Carey. Nature 1991
754
5

Visual objects in context.
Moshe Bar. Nat Rev Neurosci 2004
729
5

The lateral occipital complex and its role in object recognition.
K Grill-Spector, Z Kourtzi, N Kanwisher. Vision Res 2001
816
5

What is "special" about face perception?
M J Farah, K D Wilson, M Drain, J N Tanaka. Psychol Rev 1998
754
5

What line drawings reveal about the visual brain.
Bilge Sayim, Patrick Cavanagh. Front Hum Neurosci 2011
18
27

Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search.
Antonio Torralba, Aude Oliva, Monica S Castelhano, John M Henderson. Psychol Rev 2006
612
4

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


Resolving human object recognition in space and time.
Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva. Nat Neurosci 2014
280
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.