A citation-based method for searching scientific literature

Konrad P Körding, Christoph Kayser, Wolfgang Einhäuser, Peter König. J Neurophysiol 2004
Times Cited: 50







List of co-cited articles
331 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
204
52


Learning Invariance from Transformation Sequences.
Peter Földiák. Neural Comput 1991
239
42

Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
930
38


Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
28


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
30


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
60
22

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
20



Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
18



Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
265
18

Learning the nonlinearity of neurons from natural visual stimuli.
Christoph Kayser, Konrad P Körding, Peter König. Neural Comput 2003
16
50

Invariant face and object recognition in the visual system.
G Wallis, E T Rolls. Prog Neurobiol 1997
301
16


Quadratic forms in natural images.
Wakako Hashimoto. Network 2003
14
57


Slowness and sparseness lead to place, head-direction, and spatial-view cells.
Mathias Franzius, Henning Sprekeler, Laurenz Wiskott. PLoS Comput Biol 2007
68
16


Natural signal statistics and sensory gain control.
O Schwartz, E P Simoncelli. Nat Neurosci 2001
416
14


How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
523
14

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
495
12


Natural stimulus statistics alter the receptive field structure of v1 neurons.
Stephen V David, William E Vinje, Jack L Gallant. J Neurosci 2004
197
12

Bubbles: a unifying framework for low-level statistical properties of natural image sequences.
Aapo Hyvärinen, Jarmo Hurri, Jaakko Väyrynen. J Opt Soc Am A Opt Image Sci Vis 2003
20
30


Statistics of natural images: Scaling in the woods.
Ruderman, Bialek. Phys Rev Lett 1994
336
12






Spatial frequency selectivity of cells in macaque visual cortex.
R L De Valois, D G Albrecht, L G Thorell. Vision Res 1982
920
10

On the classification of simple and complex cells.
Ferenc Mechler, Dario L Ringach. Vision Res 2002
147
10

How close are we to understanding v1?
Bruno A Olshausen, David J Field. Neural Comput 2005
186
10

Learning viewpoint invariant object representations using a temporal coherence principle.
Wolfgang Einhäuser, Jörg Hipp, Julian Eggert, Edgar Körner, Peter König. Biol Cybern 2005
23
21

Neuronal circuits of the neocortex.
Rodney J Douglas, Kevan A C Martin. Annu Rev Neurosci 2004
926
10

Sparse coding of sensory inputs.
Bruno A Olshausen, David J Field. Curr Opin Neurobiol 2004
557
10

Topographic product models applied to natural scene statistics.
Simon Osindero, Max Welling, Geoffrey E Hinton. Neural Comput 2006
22
22

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
504
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
273
10

Hierarchical Bayesian inference in the visual cortex.
Tai Sing Lee, David Mumford. J Opt Soc Am A Opt Image Sci Vis 2003
518
8


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.