A citation-based method for searching scientific literature

Jonathan W Pillow, Liam Paninski, Valerie J Uzzell, Eero P Simoncelli, E J Chichilnisky. J Neurosci 2005
Times Cited: 188







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



Times Cited
  Times     Co-cited
Similarity


Spatio-temporal correlations and visual signalling in a complete neuronal population.
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
571
55

A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
Wilson Truccolo, Uri T Eden, Matthew R Fellows, John P Donoghue, Emery N Brown. J Neurophysiol 2005
465
36


Predicting every spike: a model for the responses of visual neurons.
J Keat, P Reinagel, R C Reid, M Meister. Neuron 2001
197
29



Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
148
18

Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
230
16

Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
70
21

Predicting spike timing of neocortical pyramidal neurons by simple threshold models.
Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner. J Comput Neurosci 2006
112
14

Fast and slow contrast adaptation in retinal circuitry.
Stephen A Baccus, Markus Meister. Neuron 2002
307
13


Refractoriness and neural precision.
M J Berry, M Meister. J Neurosci 1998
217
13

The spatial structure of a nonlinear receptive field.
Gregory W Schwartz, Haruhisa Okawa, Felice A Dunn, Josh L Morgan, Daniel Kerschensteiner, Rachel O Wong, Fred Rieke. Nat Neurosci 2012
115
13

The functional diversity of retinal ganglion cells in the mouse.
Tom Baden, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Thomas Euler. Nature 2016
343
13

The structure and precision of retinal spike trains.
M J Berry, D K Warland, M Meister. Proc Natl Acad Sci U S A 1997
295
12

Mapping nonlinear receptive field structure in primate retina at single cone resolution.
Jeremy Freeman, Greg D Field, Peter H Li, Martin Greschner, Deborah E Gunning, Keith Mathieson, Alexander Sher, Alan M Litke, Liam Paninski, Eero P Simoncelli,[...]. Elife 2015
38
31

Selectivity for multiple stimulus features in retinal ganglion cells.
Adrienne L Fairhall, C Andrew Burlingame, Ramesh Narasimhan, Robert A Harris, Jason L Puchalla, Michael J Berry. J Neurophysiol 2006
108
11


Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
172
10

Retinal ganglion cells can rapidly change polarity from Off to On.
Maria Neimark Geffen, Saskia E J de Vries, Markus Meister. PLoS Biol 2007
67
14

The contrast sensitivity of retinal ganglion cells of the cat.
C Enroth-Cugell, J G Robson. J Physiol 1966
10

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
703
10


Neuroscience. How good are neuron models?
Wulfram Gerstner, Richard Naud. Science 2009
98
9

Precision of spike trains in primate retinal ganglion cells.
V J Uzzell, E J Chichilnisky. J Neurophysiol 2004
99
9

Functional connectivity in the retina at the resolution of photoreceptors.
Greg D Field, Jeffrey L Gauthier, Alexander Sher, Martin Greschner, Timothy A Machado, Lauren H Jepson, Jonathon Shlens, Deborah E Gunning, Keith Mathieson, Wladyslaw Dabrowski,[...]. Nature 2010
159
9

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells.
Michael Vidne, Yashar Ahmadian, Jonathon Shlens, Jonathan W Pillow, Jayant Kulkarni, Alan M Litke, E J Chichilnisky, Eero Simoncelli, Liam Paninski. J Comput Neurosci 2012
51
17

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, Maneesh Sahani. J Neurophysiol 2009
199
9

Temporal precision in the visual pathway through the interplay of excitation and stimulus-driven suppression.
Daniel A Butts, Chong Weng, Jianzhong Jin, Jose-Manuel Alonso, Liam Paninski. J Neurosci 2011
41
21

From spiking neuron models to linear-nonlinear models.
Srdjan Ostojic, Nicolas Brunel. PLoS Comput Biol 2011
88
10

Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
117
9

Encoding and decoding in parietal cortex during sensorimotor decision-making.
Il Memming Park, Miriam L R Meister, Alexander C Huk, Jonathan W Pillow. Nat Neurosci 2014
94
9

Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
248
8



Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms.
Skander Mensi, Richard Naud, Christian Pozzorini, Michael Avermann, Carl C H Petersen, Wulfram Gerstner. J Neurophysiol 2012
40
20


The most numerous ganglion cell type of the mouse retina is a selective feature detector.
Yifeng Zhang, In-Jung Kim, Joshua R Sanes, Markus Meister. Proc Natl Acad Sci U S A 2012
150
8

Segregation of object and background motion in the retina.
Bence P Olveczky, Stephen A Baccus, Markus Meister. Nature 2003
216
8

Modeling single-neuron dynamics and computations: a balance of detail and abstraction.
Andreas V M Herz, Tim Gollisch, Christian K Machens, Dieter Jaeger. Science 2006
160
8

Reliability of spike timing in neocortical neurons.
Z F Mainen, T J Sejnowski. Science 1995
990
8

Bayesian inference for generalized linear models for spiking neurons.
Sebastian Gerwinn, Jakob H Macke, Matthias Bethge. Front Comput Neurosci 2010
32
25


Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes.
Wilson Truccolo, Leigh R Hochberg, John P Donoghue. Nat Neurosci 2010
124
8


Simple model of spiking neurons.
E M Izhikevich. IEEE Trans Neural Netw 2003
842
8


Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.
Christian Pozzorini, Skander Mensi, Olivier Hagens, Richard Naud, Christof Koch, Wulfram Gerstner. PLoS Comput Biol 2015
28
28

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
293
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.