Event-Driven Simulation of Networks of Spiking Neurons
Abstract
A fast event-driven software simulator has been developed for sim(cid:173) ulating large networks of spiking neurons and synapses. The prim(cid:173) itive network elements are designed to exhibit biologically realis(cid:173) tic behaviors, such as spiking, refractoriness, adaptation, axonal delays, summation of post-synaptic current pulses, and tonic cur(cid:173) rent inputs. The efficient event-driven representation allows large networks to be simulated in a fraction of the time that would be required for a full compartmental-model simulation. Correspond(cid:173) ing analog CMOS VLSI circuit primitives have been designed and characterized, so that large-scale circuits may be simulated prior to fabrication.
Cite
Text
Watts. "Event-Driven Simulation of Networks of Spiking Neurons." Neural Information Processing Systems, 1993.Markdown
[Watts. "Event-Driven Simulation of Networks of Spiking Neurons." Neural Information Processing Systems, 1993.](https://mlanthology.org/neurips/1993/watts1993neurips-eventdriven/)BibTeX
@inproceedings{watts1993neurips-eventdriven,
title = {{Event-Driven Simulation of Networks of Spiking Neurons}},
author = {Watts, Lloyd},
booktitle = {Neural Information Processing Systems},
year = {1993},
pages = {927-934},
url = {https://mlanthology.org/neurips/1993/watts1993neurips-eventdriven/}
}