A citation-based method for searching scientific literature

Pietro Berkes, Laurenz Wiskott. J Vis 2005
Times Cited: 76







List of co-cited articles
411 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
69

Learning Invariance from Transformation Sequences.
Peter Földiák. Neural Comput 1991
241
44


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
48



Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
23

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
42

Slowness and sparseness lead to place, head-direction, and spatial-view cells.
Mathias Franzius, Henning Sprekeler, Laurenz Wiskott. PLoS Comput Biol 2007
68
26

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
23


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
26





Learning viewpoint invariant object representations using a temporal coherence principle.
Wolfgang Einhäuser, Jörg Hipp, Julian Eggert, Edgar Körner, Peter König. Biol Cybern 2005
23
52


Classifying simple and complex cells on the basis of response modulation.
B C Skottun, R L De Valois, D H Grosof, J A Movshon, D G Albrecht, A B Bonds. Vision Res 1991
496
15

Quadratic forms in natural images.
Wakako Hashimoto. Network 2003
14
78


Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
935
14

Invariant object recognition and pose estimation with slow feature analysis.
Mathias Franzius, Niko Wilbert, Laurenz Wiskott. Neural Comput 2011
16
68




How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
531
13



Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
265
11






The world from a cat's perspective--statistics of natural videos.
Belinda Y Betsch, Wolfgang Einhäuser, Konrad P Körding, Peter König. Biol Cybern 2004
65
12

Sparse coding of sensory inputs.
Bruno A Olshausen, David J Field. Curr Opin Neurobiol 2004
561
10

Natural signal statistics and sensory gain control.
O Schwartz, E P Simoncelli. Nat Neurosci 2001
417
10

What is the relation between slow feature analysis and independent component analysis?
Tobias Blaschke, Pietro Berkes, Laurenz Wiskott. Neural Comput 2006
15
53

Slowness: an objective for spike-timing-dependent plasticity?
Henning Sprekeler, Christian Michaelis, Laurenz Wiskott. PLoS Comput Biol 2007
35
22


Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
350
10


Do we know what the early visual system does?
Matteo Carandini, Jonathan B Demb, Valerio Mante, David J Tolhurst, Yang Dan, Bruno A Olshausen, Jack L Gallant, Nicole C Rust. J Neurosci 2005
274
10

How close are we to understanding v1?
Bruno A Olshausen, David J Field. Neural Comput 2005
187
9



Spatial frequency selectivity of cells in macaque visual cortex.
R L De Valois, D G Albrecht, L G Thorell. Vision Res 1982
923
9

Modular Toolkit for Data Processing (MDP): A Python Data Processing Framework.
Tiziano Zito, Niko Wilbert, Laurenz Wiskott, Pietro Berkes. Front Neuroinform 2009
29
24

Predictive coding: a fresh view of inhibition in the retina.
M V Srinivasan, S B Laughlin, A Dubs. Proc R Soc Lond B Biol Sci 1982
505
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.