Neural spike communication under noisy environments

Noriyasu Homma, Koh Fuchigami, Madan M. Gupta

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

Abstract

In this paper, we analyze neural spike dynamics of a double feedback neural unit (DFNU) and its networks. An essential emphasis of the DFNU is not only on its simple formulations that can provide quantitative analytic results, but also on physiological plausibility of the dynamics that is comparable to that of Hodgkin-Huxley's model. The results suggest that a proportional coding of neural information on firing frequency may not be always reasonable due to sensitivity to noisy inputs especially for low-frequency firings. On the other hand, high-frequency firings are relatively appropriate for a neural informational carrier due to the reliability and robustness to noisy inputs. It is also demonstrated by simulation studies that use of noisy inputs can enhance the dynamic neural performances.

Original languageEnglish
Title of host publicationProceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
Publication statusPublished - 2005 Dec 1
Event2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05 - La Jolla, CA, United States
Duration: 2005 Nov 142005 Nov 15

Publication series

NameProceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
Volume2005

Other

Other2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
Country/TerritoryUnited States
CityLa Jolla, CA
Period05/11/1405/11/15

ASJC Scopus subject areas

  • Engineering(all)

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