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Journal of Physiology, Paris|November 9, 2005
Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrivalRenaud Jolivet, Wulfram GerstnerPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 15, 2003
Piecewise linear differential equations and integrate-and-fire neurons: insights from two-dimensional membrane modelsArnaud Tonnelier, Wulfram GerstnerNeuroreport|July 14, 2005
Noise-enhanced computation in a model of a cortical columnJulien Mayor, Wulfram GerstnerFrontiers in Neuroinformatics|October 14, 2014
Limits to high-speed simulations of spiking neural networks using general-purpose computersFriedemann Zenke, Wulfram GerstnerElife|November 28, 2017
Predicting non-linear dynamics by stable local learning in a recurrent spiking neural networkAditya Gilra, Wulfram GerstnerElife|June 17, 2021
A functional model of adult dentate gyrus neurogenesisOlivia Gozel, Wulfram GerstnerPlos Computational Biology|October 12, 2012
Coding and decoding with adapting neurons: a population approach to the peri-stimulus time histogramRichard Naud, Wulfram GerstnerAdvances in Neurobiology|July 15, 2024
A Computational Framework for Memory EngramsChiara Gastaldi, Wulfram GerstnerThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 22, 2006
Triplets of spikes in a model of spike timing-dependent plasticityJean-Pascal Pfister, Wulfram GerstnerBiological Cybernetics|December 4, 2002
Mathematical formulations of Hebbian learningWulfram Gerstner, Werner M KistlerPageof 22