A citation-based method for searching scientific literature


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



Times Cited
  Times     Co-cited
Similarity



How spike generation mechanisms determine the neuronal response to fluctuating inputs.
Nicolas Fourcaud-Trocmé, David Hansel, Carl van Vreeswijk, Nicolas Brunel. J Neurosci 2003
271
28


Predicting spike timing of neocortical pyramidal neurons by simple threshold models.
Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner. J Comput Neurosci 2006
116
27

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
153
22

Simple model of spiking neurons.
E M Izhikevich. IEEE Trans Neural Netw 2003
914
22

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
19

Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold.
Ryota Kobayashi, Yasuhiro Tsubo, Shigeru Shinomoto. Front Comput Neurosci 2009
72
26

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
115
17

Reliability of spike timing in neocortical neurons.
Z F Mainen, T J Sejnowski. Science 1995
16

Predicting every spike: a model for the responses of visual neurons.
J Keat, P Reinagel, R C Reid, M Meister. Neuron 2001
204
16


Which model to use for cortical spiking neurons?
Eugene M Izhikevich. IEEE Trans Neural Netw 2004
489
16

Neuroscience. How good are neuron models?
Wulfram Gerstner, Richard Naud. Science 2009
103
16

Efficient estimation of detailed single-neuron models.
Quentin J M Huys, Misha B Ahrens, Liam Paninski. J Neurophysiol 2006
73
20

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
20

Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents.
Alexander Rauch, Giancarlo La Camera, Hans-Rudolf Luscher, Walter Senn, Stefano Fusi. J Neurophysiol 2003
154
13

The quantitative single-neuron modeling competition.
Renaud Jolivet, Felix Schürmann, Thomas K Berger, Richard Naud, Wulfram Gerstner, Arnd Roth. Biol Cybern 2008
62
20

The parameters of the stochastic leaky integrate-and-fire neuronal model.
Petr Lansky, Pavel Sanda, Jufang He. J Comput Neurosci 2006
32
37



Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons.
A Destexhe, M Rudolph, J M Fellous, T J Sejnowski. Neuroscience 2001
368
11

State space method for predicting the spike times of a neuron.
Ryota Kobayashi, Shigeru Shinomoto. Phys Rev E Stat Nonlin Soft Matter Phys 2007
13
84

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
596
11




A universal model for spike-frequency adaptation.
Jan Benda, Andreas V M Herz. Neural Comput 2003
235
9

The high-conductance state of neocortical neurons in vivo.
Alain Destexhe, Michael Rudolph, Denis Paré. Nat Rev Neurosci 2003
656
9

Efficiency and ambiguity in an adaptive neural code.
A L Fairhall, G D Lewen, W Bialek, R R de Ruyter Van Steveninck. Nature 2001
472
9

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
493
9

Simulation of networks of spiking neurons: a review of tools and strategies.
Romain Brette, Michelle Rudolph, Ted Carnevale, Michael Hines, David Beeman, James M Bower, Markus Diesmann, Abigail Morrison, Philip H Goodman, Frederick C Harris,[...]. J Comput Neurosci 2007
258
9



Resonate-and-fire neurons.
E M Izhikevich. Neural Netw 2001
148
9

Unique features of action potential initiation in cortical neurons.
Björn Naundorf, Fred Wolf, Maxim Volgushev. Nature 2006
190
8

From subthreshold to firing-rate resonance.
Magnus J E Richardson, Nicolas Brunel, Vincent Hakim. J Neurophysiol 2003
154
8

The blue brain project.
Henry Markram. Nat Rev Neurosci 2006
382
8


Gain modulation from background synaptic input.
Frances S Chance, L F Abbott, Alex D Reyes. Neuron 2002
660
8

Complex parameter landscape for a complex neuron model.
Pablo Achard, Erik De Schutter. PLoS Comput Biol 2006
132
8


A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data.
Shaul Druckmann, Yoav Banitt, Albert Gidon, Felix Schürmann, Henry Markram, Idan Segev. Front Neurosci 2007
146
7

Similar network activity from disparate circuit parameters.
Astrid A Prinz, Dirk Bucher, Eve Marder. Nat Neurosci 2004
493
7



The NEURON simulation environment.
M L Hines, N T Carnevale. Neural Comput 1997
7


A threshold equation for action potential initiation.
Jonathan Platkiewicz, Romain Brette. PLoS Comput Biol 2010
89
7

Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons.
Martin Pospischil, Maria Toledo-Rodriguez, Cyril Monier, Zuzanna Piwkowska, Thierry Bal, Yves Frégnac, Henry Markram, Alain Destexhe. Biol Cybern 2008
113
7


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.