A citation-based method for searching scientific literature

G Wallis, E T Rolls. Prog Neurobiol 1997
Times Cited: 302







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



Times Cited
  Times     Co-cited
Similarity


Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
49

Learning Invariance from Transformation Sequences.
Peter Földiák. Neural Comput 1991
242
38


How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
538
32

Slow feature analysis: unsupervised learning of invariances.
Laurenz Wiskott, Terrence J Sejnowski. Neural Comput 2002
209
27

A feedforward architecture accounts for rapid categorization.
Thomas Serre, Aude Oliva, Tomaso Poggio. Proc Natl Acad Sci U S A 2007
412
25


Fast readout of object identity from macaque inferior temporal cortex.
Chou P Hung, Gabriel Kreiman, Tomaso Poggio, James J DiCarlo. Science 2005
443
24

Robust object recognition with cortex-like mechanisms.
Thomas Serre, Lior Wolf, Stanley Bileschi, Maximilian Riesenhuber, Tomaso Poggio. IEEE Trans Pattern Anal Mach Intell 2007
310
23



Speed of processing in the human visual system.
S Thorpe, D Fize, C Marlot. Nature 1996
19



Inferotemporal cortex and object vision.
K Tanaka. Annu Rev Neurosci 1996
825
18

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
468
18

Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
361
17





Models of object recognition.
M Riesenhuber, T Poggio. Nat Neurosci 2000
297
15

'Breaking' position-invariant object recognition.
David D Cox, Philip Meier, Nadja Oertelt, James J DiCarlo. Nat Neurosci 2005
92
16

Learning invariant object recognition in the visual system with continuous transformations.
S M Stringer, G Perry, E T Rolls, J H Proske. Biol Cybern 2006
51
29


A model of the ventral visual system based on temporal stability and local memory.
Reto Wyss, Peter König, Paul F M J Verschure. PLoS Biol 2006
61
22

Why is real-world visual object recognition hard?
Nicolas Pinto, David D Cox, James J DiCarlo. PLoS Comput Biol 2008
118
13


Matching categorical object representations in inferior temporal cortex of man and monkey.
Nikolaus Kriegeskorte, Marieke Mur, Douglas A Ruff, Roozbeh Kiani, Jerzy Bodurka, Hossein Esteky, Keiji Tanaka, Peter A Bandettini. Neuron 2008
645
12


Visual object recognition.
N K Logothetis, D L Sheinberg. Annu Rev Neurosci 1996
616
12

A quantitative theory of immediate visual recognition.
Thomas Serre, Gabriel Kreiman, Minjoon Kouh, Charles Cadieu, Ulf Knoblich, Tomaso Poggio. Prog Brain Res 2007
74
16

Effects of temporal association on recognition memory.
G Wallis, H H Bülthoff. Proc Natl Acad Sci U S A 2001
121
12




Spatial vs temporal continuity in view invariant visual object recognition learning.
Gavin Perry, Edmund T Rolls, Simon M Stringer. Vision Res 2006
27
44

Metamers of the ventral stream.
Jeremy Freeman, Eero P Simoncelli. Nat Neurosci 2011
256
12






Visual features of intermediate complexity and their use in classification.
Shimon Ullman, Michel Vidal-Naquet, Erez Sali. Nat Neurosci 2002
238
10

Unsupervised learning of visual features through spike timing dependent plasticity.
Timothée Masquelier, Simon J Thorpe. PLoS Comput Biol 2007
143
10

A feature-integration theory of attention.
A M Treisman, G Gelade. Cogn Psychol 1980
10



The neuronal encoding of information in the brain.
Edmund T Rolls, Alessandro Treves. Prog Neurobiol 2011
115
10

Learning and disrupting invariance in visual recognition with a temporal association rule.
Leyla Isik, Joel Z Leibo, Tomaso Poggio. Front Comput Neurosci 2012
20
50


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.