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Frontiers in Computational Neuroscience|August 29, 2014
Spike-timing prediction in cortical neurons with active dendritesRichard Naud, Brice Bathellier, Wulfram GerstnerNeural Computation|June 7, 2008
Gamma oscillations in a nonlinear regime: a minimal model approach using heterogeneous integrate-and-fire networksBrice Bathellier, Alan Carleton, Wulfram GerstnerPlos Computational Biology|October 12, 2012
Coding and decoding with adapting neurons: a population approach to the peri-stimulus time histogramRichard Naud, Wulfram GerstnerNature Neuroscience|June 11, 2013
Temporal whitening by power-law adaptation in neocortical neuronsChristian Pozzorini, Richard Naud, Skander Mensi, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 24, 2015
Fluctuations and information filtering in coupled populations of spiking neurons with adaptationMoritz Deger, Tilo Schwalger, Richard Naud, et al.Neural Computation|September 17, 2011
Improved similarity measures for small sets of spike trainsRichard Naud, Felipe Gerhard, Skander Mensi, et al.Biological Cybernetics|November 18, 2008
Firing patterns in the adaptive exponential integrate-and-fire modelRichard Naud, Nicolas Marcille, Claudia Clopath, et al.Journal of Neuroscience Methods|December 28, 2007
A benchmark test for a quantitative assessment of simple neuron modelsRenaud Jolivet, Ryota Kobayashi, Alexander Rauch, et al.Plos Computational Biology|June 18, 2015
Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking ModelsChristian Pozzorini, Skander Mensi, Olivier Hagens, et al.Biological Cybernetics|November 18, 2008
The quantitative single-neuron modeling competitionRenaud Jolivet, Felix Schürmann, Thomas K Berger, et al.Pageof 19