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Journal of Computational Neuroscience|September 13, 2012
Information filtering by synchronous spikes in a neural populationNahal Sharafi, Jan Benda, Benjamin LindnerProceedings of the National Academy of Sciences of the United States of America|February 17, 2017
Synchronous spikes are necessary but not sufficient for a synchrony code in populations of spiking neuronsJan Grewe, Alexandra Kruscha, Benjamin Lindner, et al.Journal of Computational Neuroscience|December 10, 2017
Coding of time-dependent stimuli in homogeneous and heterogeneous neural populationsManuel Beiran, Alexandra Kruscha, Jan Benda, et al.Plos Computational Biology|December 29, 2010
How noisy adaptation of neurons shapes interspike interval histograms and correlationsTilo Schwalger, Karin Fisch, Jan Benda, et al.Eneuro|April 1, 2026
Spike generation in electroreceptor afferents introduces additional spectral response components by weakly nonlinear interactionsAlexandra Barayeu, Maria Schlungbaum, Benjamin Lindner, et al.Journal of Computational Neuroscience|November 19, 2024
Effect of burst spikes on linear and nonlinear signal transmission in spiking neuronsMaria Schlungbaum, Alexandra Barayeu, Jan Grewe, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 1, 2012
Channel noise from both slow adaptation currents and fast currents is required to explain spike-response variability in a sensory neuronKarin Fisch, Tilo Schwalger, Benjamin Lindner, et al.Physical Review. E|January 20, 2018
Critical transitions and perturbation growth directionsNahal Sharafi, Marc Timme, Sarah HallerbergChaos (Woodbury, N.Y.)|April 2, 2022
Estimating covariant Lyapunov vectors from dataChristoph Martin, Nahal Sharafi, Sarah HallerbergPhysical Review. E|June 19, 2025
Weight dynamics of learning networksNahal Sharafi, Christoph Martin, Sarah HallerbergPageof 19