A citation-based method for searching scientific literature

Reto Wyss, Peter König, Paul F M J Verschure. PLoS Biol 2006
Times Cited: 61







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



Times Cited
  Times     Co-cited
Similarity


Slow feature analysis: unsupervised learning of invariances.
Laurenz Wiskott, Terrence J Sejnowski. Neural Comput 2002
208
59

Learning Invariance from Transformation Sequences.
Peter Földiák. Neural Comput 1991
242
54

Slowness and sparseness lead to place, head-direction, and spatial-view cells.
Mathias Franzius, Henning Sprekeler, Laurenz Wiskott. PLoS Comput Biol 2007
68
42





How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
536
19

How are complex cell properties adapted to the statistics of natural stimuli?
Konrad P Körding, Christoph Kayser, Wolfgang Einhäuser, Peter König. J Neurophysiol 2004
50
22


Effects of temporal association on recognition memory.
G Wallis, H H Bülthoff. Proc Natl Acad Sci U S A 2001
121
16

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

Unsupervised learning of visual features through spike timing dependent plasticity.
Timothée Masquelier, Simon J Thorpe. PLoS Comput Biol 2007
142
16


Slowness: an objective for spike-timing-dependent plasticity?
Henning Sprekeler, Christian Michaelis, Laurenz Wiskott. PLoS Comput Biol 2007
35
25


Learning viewpoint invariant object representations using a temporal coherence principle.
Wolfgang Einhäuser, Jörg Hipp, Julian Eggert, Edgar Körner, Peter König. Biol Cybern 2005
23
39






Microstructure of a spatial map in the entorhinal cortex.
Torkel Hafting, Marianne Fyhn, Sturla Molden, May-Britt Moser, Edvard I Moser. Nature 2005
11




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
13


Spatial vs temporal continuity in view invariant visual object recognition learning.
Gavin Perry, Edmund T Rolls, Simon M Stringer. Vision Res 2006
27
25

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
13





Invariant visual object recognition: a model, with lighting invariance.
Edmund T Rolls, Simon M Stringer. J Physiol Paris 2006
34
20


Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
11


Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
357
11

Models of object recognition.
M Riesenhuber, T Poggio. Nat Neurosci 2000
295
11

Robust object recognition with cortex-like mechanisms.
Thomas Serre, Lior Wolf, Stanley Bileschi, Maximilian Riesenhuber, Tomaso Poggio. IEEE Trans Pattern Anal Mach Intell 2007
308
11

Environmentally mediated synergy between perception and behaviour in mobile robots.
Paul F M J Verschure, Thomas Voegtlin, Rodney J Douglas. Nature 2003
61
11

A feedforward architecture accounts for rapid categorization.
Thomas Serre, Aude Oliva, Tomaso Poggio. Proc Natl Acad Sci U S A 2007
411
11

Path integration and the neural basis of the 'cognitive map'.
Bruce L McNaughton, Francesco P Battaglia, Ole Jensen, Edvard I Moser, May-Britt Moser. Nat Rev Neurosci 2006
936
9


Modular Toolkit for Data Processing (MDP): A Python Data Processing Framework.
Tiziano Zito, Niko Wilbert, Laurenz Wiskott, Pietro Berkes. Front Neuroinform 2009
29
20

Learning the invariance properties of complex cells from their responses to natural stimuli.
Wolfgang Einhäuser, Christoph Kayser, Peter König, Konrad P Körding. Eur J Neurosci 2002
42
14


Fast readout of object identity from macaque inferior temporal cortex.
Chou P Hung, Gabriel Kreiman, Tomaso Poggio, James J DiCarlo. Science 2005
442
9

Inferotemporal cortex and object vision.
K Tanaka. Annu Rev Neurosci 1996
824
9


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.