A citation-based method for searching scientific literature


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



Times Cited
  Times     Co-cited
Similarity


Learning Invariance from Transformation Sequences.
Peter Földiák. Neural Comput 1991
243
85



Invariant face and object recognition in the visual system.
G Wallis, E T Rolls. Prog Neurobiol 1997
302
71





Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex.
Leonardo Franco, Edmund T Rolls, Nikolaos C Aggelopoulos, Jose M Jerez. Biol Cybern 2007
52
71

The neuronal encoding of information in the brain.
Edmund T Rolls, Alessandro Treves. Prog Neurobiol 2011
115
71




Slow feature analysis: unsupervised learning of invariances.
Laurenz Wiskott, Terrence J Sejnowski. Neural Comput 2002
210
71

Continuous transformation learning of translation invariant representations.
G Perry, E T Rolls, S M Stringer. Exp Brain Res 2010
9
57



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
57

Robust object recognition with cortex-like mechanisms.
Thomas Serre, Lior Wolf, Stanley Bileschi, Maximilian Riesenhuber, Tomaso Poggio. IEEE Trans Pattern Anal Mach Intell 2007
314
57

Object perception in natural scenes: encoding by inferior temporal cortex simultaneously recorded neurons.
Nikolaos C Aggelopoulos, Leonardo Franco, Edmund T Rolls. J Neurophysiol 2005
40
57


Slowness and sparseness lead to place, head-direction, and spatial-view cells.
Mathias Franzius, Henning Sprekeler, Laurenz Wiskott. PLoS Comput Biol 2007
69
57

Spatial vs temporal continuity in view invariant visual object recognition learning.
Gavin Perry, Edmund T Rolls, Simon M Stringer. Vision Res 2006
27
57



How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
548
57

A feedforward architecture accounts for rapid categorization.
Thomas Serre, Aude Oliva, Tomaso Poggio. Proc Natl Acad Sci U S A 2007
417
57






Dynamic binding in a neural network for shape recognition.
J E Hummel, I Biederman. Psychol Rev 1992
404
42


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
42

Representational capacity of face coding in monkeys.
L F Abbott, E T Rolls, M J Tovee. Cereb Cortex 1996
61
42




Learning and disrupting invariance in visual recognition with a temporal association rule.
Leyla Isik, Joel Z Leibo, Tomaso Poggio. Front Comput Neurosci 2012
20
42



The use of decoding to analyze the contribution to the information of the correlations between the firing of simultaneously recorded neurons.
Leonardo Franco, Edmund T Rolls, Nikolaos C Aggelopoulos, Alessandro Treves. Exp Brain Res 2004
28
42






A high-throughput screening approach to discovering good forms of biologically inspired visual representation.
Nicolas Pinto, David Doukhan, James J DiCarlo, David D Cox. PLoS Comput Biol 2009
54
42

The receptive fields of inferior temporal cortex neurons in natural scenes.
Edmund T Rolls, Nicholas C Aggelopoulos, Fashan Zheng. J Neurosci 2003
116
42


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.