A citation-based method for searching scientific literature

Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
Times Cited: 153







List of co-cited articles
696 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
495
34

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
601
34


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
194
29

Predicting every spike: a model for the responses of visual neurons.
J Keat, P Reinagel, R C Reid, M Meister. Neuron 2001
204
23



Simple model of spiking neurons.
E M Izhikevich. IEEE Trans Neural Netw 2003
920
16

Neuroscience. How good are neuron models?
Wulfram Gerstner, Richard Naud. Science 2009
103
14



Reliability of spike timing in neocortical neurons.
Z F Mainen, T J Sejnowski. Science 1995
13


Predicting spike timing of neocortical pyramidal neurons by simple threshold models.
Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner. J Comput Neurosci 2006
117
13

Efficient estimation of detailed single-neuron models.
Quentin J M Huys, Misha B Ahrens, Liam Paninski. J Neurophysiol 2006
73
16


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
257
11


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
170
10

Which model to use for cortical spiking neurons?
Eugene M Izhikevich. IEEE Trans Neural Netw 2004
491
10

A benchmark test for a quantitative assessment of simple neuron models.
Renaud Jolivet, Ryota Kobayashi, Alexander Rauch, Richard Naud, Shigeru Shinomoto, Wulfram Gerstner. J Neurosci Methods 2008
73
13



Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes.
Wilson Truccolo, Leigh R Hochberg, John P Donoghue. Nat Neurosci 2010
127
10

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
71
14

Temporal precision in the neural code and the timescales of natural vision.
Daniel A Butts, Chong Weng, Jianzhong Jin, Chun-I Yeh, Nicholas A Lesica, Jose-Manuel Alonso, Garrett B Stanley. Nature 2007
195
9


Common-input models for multiple neural spike-train data.
Jayant E Kulkarni, Liam Paninski. Network 2007
59
13

How spike generation mechanisms determine the neuronal response to fluctuating inputs.
Nicolas Fourcaud-Trocmé, David Hansel, Carl van Vreeswijk, Nicolas Brunel. J Neurosci 2003
272
8

Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
125
8

Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold.
Ryota Kobayashi, Yasuhiro Tsubo, Shigeru Shinomoto. Front Comput Neurosci 2009
73
10

Refractoriness and neural precision.
M J Berry, M Meister. J Neurosci 1998
244
8


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
375
7

Estimating a state-space model from point process observations.
Anne C Smith, Emery N Brown. Neural Comput 2003
158
7




Computation in a single neuron: Hodgkin and Huxley revisited.
Blaise Agüera y Arcas, Adrienne L Fairhall, William Bialek. Neural Comput 2003
89
7

Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces.
Laurent Badel, Sandrine Lefort, Romain Brette, Carl C H Petersen, Wulfram Gerstner, Magnus J E Richardson. J Neurophysiol 2008
116
7





Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
181
7

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
11

Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
239
7

Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains.
Yi Dong, Stefan Mihalas, Alexander Russell, Ralph Etienne-Cummings, Ernst Niebur. Neural Comput 2011
8
87

Organization of cell assemblies in the hippocampus.
Kenneth D Harris, Jozsef Csicsvari, Hajime Hirase, George Dragoi, György Buzsáki. Nature 2003
471
6



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.