A review of biologically plausible neuron models for spiking neural networks

Lyle N. Long, Guoliang Fang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

In this paper, five mathematical models of single neurons are discussed and compared. The physical meanings, derivations, and differential equations of each model are provided. Since for many applications the spiking rates of neurons are of great importance, we compare the spiking rate patterns under different sustained current inputs. Numerical stability and accuracy are also considered. The computational cost and storage requirements needed to numerically solve each of the models are also discussed.

Original languageEnglish (US)
Title of host publicationAIAA Infotech at Aerospace 2010
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781600867439
DOIs
StatePublished - Jan 1 2010

Publication series

NameAIAA Infotech at Aerospace 2010

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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