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

12 Scopus citations


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
Publication statusPublished - Dec 16 2010
EventAIAA Infotech at Aerospace 2010 - Atlanta, GA, United States
Duration: Apr 20 2010Apr 22 2010

Publication series

NameAIAA Infotech at Aerospace 2010


OtherAIAA Infotech at Aerospace 2010
CountryUnited States
CityAtlanta, GA


All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

Cite this

Long, L. N., & Fang, G. (2010). A review of biologically plausible neuron models for spiking neural networks. In AIAA Infotech at Aerospace 2010 [2010-3540] (AIAA Infotech at Aerospace 2010).