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Frontiers in Neuroinformatics|October 30, 2010
A general and efficient method for incorporating precise spike times in globally time-driven simulationsAlexander Hanuschkin, Susanne Kunkel, Moritz Helias, et al.Neural Computation|September 27, 2006
Programmable logic construction kits for hyper-real-time neuronal modelingRuben Guerrero-Rivera, Abigail Morrison, Markus Diesmann, et al.Neural Computation|June 23, 2005
Advancing the boundaries of high-connectivity network simulation with distributed computingAbigail Morrison, Carsten Mehring, Theo Geisel, et al.Frontiers 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 GerstnerPageof 26