A citation-based method for searching scientific literature

Pietro Berkes, Richard E Turner, Maneesh Sahani. PLoS Comput Biol 2009
Times Cited: 19







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



Times Cited
  Times     Co-cited
Similarity






Natural signal statistics and sensory gain control.
O Schwartz, E P Simoncelli. Nat Neurosci 2001
416
36


Slow feature analysis: unsupervised learning of invariances.
Laurenz Wiskott, Terrence J Sejnowski. Neural Comput 2002
204
31

Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
31

Probabilistic interpretation of population codes.
R S Zemel, P Dayan, A Pouget. Neural Comput 1998
189
26

Bayesian inference with probabilistic population codes.
Wei Ji Ma, Jeffrey M Beck, Peter E Latham, Alexandre Pouget. Nat Neurosci 2006
664
26


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
26





Learning Invariance from Transformation Sequences.
Peter Földiák. Neural Comput 1991
239
21

Hierarchical Bayesian inference in the visual cortex.
Tai Sing Lee, David Mumford. J Opt Soc Am A Opt Image Sci Vis 2003
518
15

Bayesian spiking neurons I: inference.
Sophie Deneve. Neural Comput 2008
138
15

Bayesian integration in sensorimotor learning.
Konrad P Körding, Daniel M Wolpert. Nature 2004
853
15

Probabilistic population codes for Bayesian decision making.
Jeffrey M Beck, Wei Ji Ma, Roozbeh Kiani, Tim Hanks, Anne K Churchland, Jamie Roitman, Michael N Shadlen, Peter E Latham, Alexandre Pouget. Neuron 2008
329
15


Motion illusions as optimal percepts.
Yair Weiss, Eero P Simoncelli, Edward H Adelson. Nat Neurosci 2002
512
15



Bilinear sparse coding for invariant vision.
David B Grimes, Rajesh P N Rao. Neural Comput 2005
19
15


Separating style and content with bilinear models.
J B Tenenbaum, W T Freeman. Neural Comput 2000
60
15

A simple Hebbian/anti-Hebbian network learns the sparse, independent components of natural images.
Michael S Falconbridge, Robert L Stamps, David R Badcock. Neural Comput 2006
25
15





Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons.
James R Cavanaugh, Wyeth Bair, J Anthony Movshon. J Neurophysiol 2002
497
15

A sparse generative model of V1 simple cells with intrinsic plasticity.
Cornelius Weber, Jochen Triesch. Neural Comput 2008
11
27




A fast learning algorithm for deep belief nets.
Geoffrey E Hinton, Simon Osindero, Yee-Whye Teh. Neural Comput 2006
15

Sparse coding of sensory inputs.
Bruno A Olshausen, David J Field. Curr Opin Neurobiol 2004
557
15



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
15


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
15

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
15



Statistically optimal perception and learning: from behavior to neural representations.
József Fiser, Pietro Berkes, Gergo Orbán, Máté Lengyel. Trends Cogn Sci 2010
291
15

Probabilistic brains: knowns and unknowns.
Alexandre Pouget, Jeffrey M Beck, Wei Ji Ma, Peter E Latham. Nat Neurosci 2013
213
15


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.