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



Times Cited
  Times     Co-cited
Similarity


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
484
54

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
585
50


Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
73
36

Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.
Jonathan W Pillow, Liam Paninski, Valerie J Uzzell, Eero P Simoncelli, E J Chichilnisky. J Neurosci 2005
190
24

Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
178
20

Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
238
19


A generalized linear model for estimating spectrotemporal receptive fields from responses to natural sounds.
Ana Calabrese, Joseph W Schumacher, David M Schneider, Liam Paninski, Sarah M N Woolley. PLoS One 2011
68
23

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
52
30

Partitioning neuronal variability.
Robbe L T Goris, J Anthony Movshon, Eero P Simoncelli. Nat Neurosci 2014
221
15

A new look at state-space models for neural data.
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua Vogelstein, Wei Wu. J Comput Neurosci 2010
84
16

Inferring input nonlinearities in neural encoding models.
Misha B Ahrens, Liam Paninski, Maneesh Sahani. Network 2008
49
26

Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
162
13

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
152
13

Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
122
12


Predicting every spike: a model for the responses of visual neurons.
J Keat, P Reinagel, R C Reid, M Meister. Neuron 2001
201
12


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
42
28

The time-rescaling theorem and its application to neural spike train data analysis.
Emery N Brown, Riccardo Barbieri, Valérie Ventura, Robert E Kass, Loren M Frank. Neural Comput 2002
249
11

Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes.
Wilson Truccolo, Leigh R Hochberg, John P Donoghue. Nat Neurosci 2010
124
10

Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli.
F E Theunissen, S V David, N C Singh, A Hsu, W E Vinje, J L Gallant. Network 2001
214
10

Reliability of spike timing in neocortical neurons.
Z F Mainen, T J Sejnowski. Science 1995
10

Predicting spike timing of neocortical pyramidal neurons by simple threshold models.
Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner. J Comput Neurosci 2006
113
10

Common-input models for multiple neural spike-train data.
Jayant E Kulkarni, Liam Paninski. Network 2007
58
17

The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction.
Ross S Williamson, Maneesh Sahani, Jonathan W Pillow. PLoS Comput Biol 2015
16
62

How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
201
9

Fast and slow contrast adaptation in retinal circuitry.
Stephen A Baccus, Markus Meister. Neuron 2002
318
9

Triggered correlation.
R de Boer, P Kuyper. IEEE Trans Biomed Eng 1968
291
9


Bayesian inference of functional connectivity and network structure from spikes.
Ian H Stevenson, James M Rebesco, Nicholas G Hatsopoulos, Zach Haga, Lee E Miller, Konrad P Körding. IEEE Trans Neural Syst Rehabil Eng 2009
59
15

Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
260
9



Bayesian inference for generalized linear models for spiking neurons.
Sebastian Gerwinn, Jakob H Macke, Matthias Bethge. Front Comput Neurosci 2010
32
28

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
307
9

The Nature of Shared Cortical Variability.
I-Chun Lin, Michael Okun, Matteo Carandini, Kenneth D Harris. Neuron 2015
103
9

Diverse coupling of neurons to populations in sensory cortex.
Michael Okun, Nicholas Steinmetz, Lee Cossell, M Florencia Iacaruso, Ho Ko, Péter Barthó, Tirin Moore, Sonja B Hofer, Thomas D Mrsic-Flogel, Matteo Carandini,[...]. Nature 2015
176
9

Attention stabilizes the shared gain of V4 populations.
Neil C Rabinowitz, Robbe L Goris, Marlene Cohen, Eero P Simoncelli. Elife 2015
81
11

Estimating a state-space model from point process observations.
Anne C Smith, Emery N Brown. Neural Comput 2003
156
9

Estimating sparse spectro-temporal receptive fields with natural stimuli.
Stephen V David, Nima Mesgarani, Shihab A Shamma. Network 2007
71
11

Multiple neural spike train data analysis: state-of-the-art and future challenges.
Emery N Brown, Robert E Kass, Partha P Mitra. Nat Neurosci 2004
373
8

Regularization Paths for Generalized Linear Models via Coordinate Descent.
Jerome Friedman, Trevor Hastie, Rob Tibshirani. J Stat Softw 2010
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
42
19

Analysis of between-trial and within-trial neural spiking dynamics.
Gabriela Czanner, Uri T Eden, Sylvia Wirth, Marianna Yanike, Wendy A Suzuki, Emery N Brown. J Neurophysiol 2008
64
12

Adaptive rescaling maximizes information transmission.
N Brenner, W Bialek, R de Ruyter van Steveninck. Neuron 2000
385
8

Dynamic analysis of neural encoding by point process adaptive filtering.
Uri T Eden, Loren M Frank, Riccardo Barbieri, Victor Solo, Emery N Brown. Neural Comput 2004
165
8

Rapid task-related plasticity of spectrotemporal receptive fields in primary auditory cortex.
Jonathan Fritz, Shihab Shamma, Mounya Elhilali, David Klein. Nat Neurosci 2003
487
8

Successful reconstruction of a physiological circuit with known connectivity from spiking activity alone.
Felipe Gerhard, Tilman Kispersky, Gabrielle J Gutierrez, Eve Marder, Mark Kramer, Uri Eden. PLoS Comput Biol 2013
38
21


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.