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Frontiers in Computational Neuroscience|August 1, 2018
Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated MemoryMarco Martinolli, Wulfram Gerstner, Aditya GilraElife|November 28, 2017
Predicting non-linear dynamics by stable local learning in a recurrent spiking neural networkAditya Gilra, Wulfram GerstnerFrontiers in Synaptic Neuroscience|March 23, 2011
Voltage and Spike Timing Interact in STDP - A Unified ModelClaudia Clopath, Wulfram GerstnerJournal of Physiology, Paris|November 18, 2005
Transient information flow in a network of excitatory and inhibitory model neurons: role of noise and signal autocorrelationJulien Mayor, Wulfram GerstnerPhilosophical Transactions of the Royal Society of London. Series B, Biological Sciences|January 18, 2017
Hebbian plasticity requires compensatory processes on multiple timescalesFriedemann Zenke, Wulfram GerstnerJournal of Neurophysiology|July 15, 2005
Adaptive exponential integrate-and-fire model as an effective description of neuronal activityRomain Brette, Wulfram GerstnerPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 29, 2006
From spiking neurons to rate models: a cascade model as an approximation to spiking neuron models with refractorinessYuval Aviel, Wulfram GerstnerFrontiers in Neural Circuits|February 3, 2016
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning RulesNicolas Frémaux, Wulfram GerstnerPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 31, 2005
Signal buffering in random networks of spiking neurons: microscopic versus macroscopic phenomenaJulien Mayor, Wulfram GerstnerJournal of Physiology, Paris|November 9, 2005
Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrivalRenaud Jolivet, Wulfram GerstnerPageof 13