A citation-based method for searching scientific literature

G Wallis, E T Rolls. Prog Neurobiol 1997
Times Cited: 299







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



Times Cited
  Times     Co-cited
Similarity


Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
51

Learning Invariance from Transformation Sequences.
Peter Földiák. Neural Comput 1991
236
38


How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
516
33

Slow feature analysis: unsupervised learning of invariances.
Laurenz Wiskott, Terrence J Sejnowski. Neural Comput 2002
200
27


Fast readout of object identity from macaque inferior temporal cortex.
Chou P Hung, Gabriel Kreiman, Tomaso Poggio, James J DiCarlo. Science 2005
434
25

A feedforward architecture accounts for rapid categorization.
Thomas Serre, Aude Oliva, Tomaso Poggio. Proc Natl Acad Sci U S A 2007
405
25

Robust object recognition with cortex-like mechanisms.
Thomas Serre, Lior Wolf, Stanley Bileschi, Maximilian Riesenhuber, Tomaso Poggio. IEEE Trans Pattern Anal Mach Intell 2007
304
24



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
822
19



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
425
18

Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
339
17



'Breaking' position-invariant object recognition.
David D Cox, Philip Meier, Nadja Oertelt, James J DiCarlo. Nat Neurosci 2005
91
17

Models of object recognition.
M Riesenhuber, T Poggio. Nat Neurosci 2000
291
15

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
50
30


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
619
14

Why is real-world visual object recognition hard?
Nicolas Pinto, David D Cox, James J DiCarlo. PLoS Comput Biol 2008
116
14

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
59
23


Visual object recognition.
N K Logothetis, D L Sheinberg. Annu Rev Neurosci 1996
615
13

A quantitative theory of immediate visual recognition.
Thomas Serre, Gabriel Kreiman, Minjoon Kouh, Charles Cadieu, Ulf Knoblich, Tomaso Poggio. Prog Brain Res 2007
73
17





Effects of temporal association on recognition memory.
G Wallis, H H Bülthoff. Proc Natl Acad Sci U S A 2001
119
12


Spatial vs temporal continuity in view invariant visual object recognition learning.
Gavin Perry, Edmund T Rolls, Simon M Stringer. Vision Res 2006
26
46


Metamers of the ventral stream.
Jeremy Freeman, Eero P Simoncelli. Nat Neurosci 2011
252
12



Shape representation in the inferior temporal cortex of monkeys.
N K Logothetis, J Pauls, T Poggio. Curr Biol 1995
534
11

Slowness and sparseness lead to place, head-direction, and spatial-view cells.
Mathias Franzius, Henning Sprekeler, Laurenz Wiskott. PLoS Comput Biol 2007
67
16


Visual features of intermediate complexity and their use in classification.
Shimon Ullman, Michel Vidal-Naquet, Erez Sali. Nat Neurosci 2002
235
10


Unsupervised learning of visual features through spike timing dependent plasticity.
Timothée Masquelier, Simon J Thorpe. PLoS Comput Biol 2007
136
10

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




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.