Event-Driven Simulations of Nonlinear Integrate-and-Fire Neurons
- 1 December 2007
- journal article
- Published by MIT Press in Neural Computation
- Vol. 19 (12) , 3226-3238
- https://doi.org/10.1162/neco.2007.19.12.3226
Abstract
Event-driven strategies have been used to simulate spiking neural networks exactly. Previous work is limited to linear integrate-and-fire neurons. In this note, we extend event-driven schemes to a class of nonlinear integrate-and-fire models. Results are presented for the quadratic integrate-and-fire model with instantaneous or exponential synaptic currents. Extensions to conductance-based currents and exponential integrate-and-fire neurons are discussed.Keywords
This publication has 22 references indexed in Scilit:
- Exact Simulation of Integrate-and-Fire Models with Synaptic ConductancesNeural Computation, 2006
- Inhibitory control of spike timing precisionNeurocomputing, 2006
- Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal ActivityJournal of Neurophysiology, 2005
- How Spike Generation Mechanisms Determine the Neuronal Response to Fluctuating InputsJournal of Neuroscience, 2003
- Firing Rate of the Noisy Quadratic Integrate-and-Fire NeuronNeural Computation, 2003
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell TypeJournal of Neuroscience, 1998
- Dynamics of Membrane Excitability Determine Interspike Interval Variability: A Link Between Spike Generation Mechanisms and Cortical Spike Train StatisticsNeural Computation, 1998
- The structure and precision of retinal spike trainsProceedings of the National Academy of Sciences, 1997
- Type I Membranes, Phase Resetting Curves, and SynchronyNeural Computation, 1996
- Parabolic Bursting in an Excitable System Coupled with a Slow OscillationSIAM Journal on Applied Mathematics, 1986