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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 26, 2012
Non-normal amplification in random balanced neuronal networksGuillaume Hennequin, Tim P Vogels, Wulfram GerstnerNature Communications|May 23, 2023
Computational models of episodic-like memory in food-caching birdsJohanni Brea, Nicola S Clayton, Wulfram GerstnerPlos Computational Biology|February 12, 2024
Learning what matters: Synaptic plasticity with invariance to second-order input correlationsCarlos Stein Naves de Brito, Wulfram GerstnerPlos Computational Biology|June 11, 2019
How single neuron properties shape chaotic dynamics and signal transmission in random neural networksSamuel P Muscinelli, Wulfram Gerstner, Tilo SchwalgerFrontiers in Computational Neuroscience|December 17, 2010
STDP in Adaptive Neurons Gives Close-To-Optimal Information TransmissionGuillaume Hennequin, Wulfram Gerstner, Jean-Pascal PfisterFrontiers in Synaptic Neuroscience|October 19, 2011
A history of spike-timing-dependent plasticityHenry Markram, Wulfram Gerstner, Per Jesper SjöströmNeural Networks : the Official Journal of the International Neural Network Society|September 29, 2007
Consciousness & the small network argumentMichael H Herzog, Michael Esfeld, Wulfram GerstnerCognitive Neurodynamics|June 5, 2013
Synaptic consolidation: an approach to long-term learningClaudia ClopathJournal of Neurophysiology|July 28, 2004
Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracyRenaud Jolivet, Timothy J Lewis, Wulfram GerstnerNeural Computation|November 22, 2016
Exponentially Long Orbits in Hopfield Neural NetworksSamuel P Muscinelli, Wulfram Gerstner, Johanni BreaPageof 22