A citation-based method for searching scientific literature

Pietro Berkes, Laurenz Wiskott. Neural Comput 2006
Times Cited: 10







List of co-cited articles
55 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
210
50


Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
30

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
30



Slowness and sparseness lead to place, head-direction, and spatial-view cells.
Mathias Franzius, Henning Sprekeler, Laurenz Wiskott. PLoS Comput Biol 2007
69
30

Learning Invariance from Transformation Sequences.
Peter Földiák. Neural Comput 1991
243
30

Searching for optimal stimuli: ascending a neuron's response function.
Melinda Evrithiki Koelling, Duane Q Nykamp. J Comput Neurosci 2012
5
60

Quadratic forms in natural images.
Wakako Hashimoto. Network 2003
14
20


Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
268
20


Substructure of direction-selective receptive fields in macaque V1.
Margaret S Livingstone, Bevil R Conway. J Neurophysiol 2003
48
20

Cortical sensitivity to visual features in natural scenes.
Gidon Felsen, Jon Touryan, Feng Han, Yang Dan. PLoS Biol 2005
110
20


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
499
20



What is the relation between slow feature analysis and independent component analysis?
Tobias Blaschke, Pietro Berkes, Laurenz Wiskott. Neural Comput 2006
15
20

Slowness: an objective for spike-timing-dependent plasticity?
Henning Sprekeler, Christian Michaelis, Laurenz Wiskott. PLoS Comput Biol 2007
35
20

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
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
20


Predictive coding and the slowness principle: an information-theoretic approach.
Felix Creutzig, Henning Sprekeler. Neural Comput 2008
20
20


Binary spiking in auditory cortex.
Michael R DeWeese, Michael Wehr, Anthony M Zador. J Neurosci 2003
221
20


Robust spectrotemporal reverse correlation for the auditory system: optimizing stimulus design.
D J Klein, D A Depireux, J Z Simon, S A Shamma. J Comput Neurosci 2000
154
20

Sparse representation of sounds in the unanesthetized auditory cortex.
Tomás Hromádka, Michael R Deweese, Anthony M Zador. PLoS Biol 2008
316
20


Sustained firing in auditory cortex evoked by preferred stimuli.
Xiaoqin Wang, Thomas Lu, Ross K Snider, Li Liang. Nature 2005
248
20

Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
954
20

A neural code for three-dimensional object shape in macaque inferotemporal cortex.
Yukako Yamane, Eric T Carlson, Katherine C Bowman, Zhihong Wang, Charles E Connor. Nat Neurosci 2008
157
20

Medial axis shape coding in macaque inferotemporal cortex.
Chia-Chun Hung, Eric T Carlson, Charles E Connor. Neuron 2012
61
20

Adaptive stimulus optimization for auditory cortical neurons.
Kevin N O'Connor, Christopher I Petkov, Mitchell L Sutter. J Neurophysiol 2005
32
20

Optimizing sound features for cortical neurons.
R C deCharms, D T Blake, M M Merzenich. Science 1998
306
20

Inferring the role of inhibition in auditory processing of complex natural stimuli.
Nadja Schinkel-Bielefeld, Stephen V David, Shihab A Shamma, Daniel A Butts. J Neurophysiol 2012
17
20

Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
171
20

Automating the design of informative sequences of sensory stimuli.
Jeremy Lewi, David M Schneider, Sarah M N Woolley, Liam Paninski. J Comput Neurosci 2011
10
20


Using genetic algorithms to find the most effective stimulus for sensory neurons.
S Bleeck, R D Patterson, I M Winter. J Neurosci Methods 2003
13
20

Sequential optimal design of neurophysiology experiments.
Jeremy Lewi, Robert Butera, Liam Paninski. Neural Comput 2009
54
20

From response to stimulus: adaptive sampling in sensory physiology.
Jan Benda, Tim Gollisch, Christian K Machens, Andreas Vm Herz. Curr Opin Neurobiol 2007
35
20


Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
181
20

Analysis and interpretation of quadratic models of receptive fields.
Pietro Berkes, Laurenz Wiskott. Nat Protoc 2007
2
100

Non-linearities and the representation of auditory spectra.
Eric D Young, Jane J Yu, Lina A J Reiss. Int Rev Neurobiol 2005
14
20


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.