Neural spike communication under noisy environments

Noriyasu Homma; Koh Fuchigami; Madan M. Gupta

Neural spike communication under noisy environments

Noriyasu Homma, Koh Fuchigami, Madan M. Gupta

MED - Health Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
Publication status	Published - 2005 Dec 1
Event	2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05 - La Jolla, CA, United States Duration: 2005 Nov 14 → 2005 Nov 15

Publication series

Name	Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
Volume	2005

Other

Other	2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
Country/Territory	United States
City	La Jolla, CA
Period	05/11/14 → 05/11/15

ASJC Scopus subject areas

Engineering(all)

Cite this

Homma, N., Fuchigami, K., & Gupta, M. M. (2005). Neural spike communication under noisy environments. In Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05 [1594913] (Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05; Vol. 2005).

Neural spike communication under noisy environments. / Homma, Noriyasu; Fuchigami, Koh; Gupta, Madan M.

Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05. 2005. 1594913 (Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Homma, N, Fuchigami, K & Gupta, MM 2005, Neural spike communication under noisy environments. in Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05., 1594913, Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05, vol. 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05, La Jolla, CA, United States, 05/11/14.

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booktitle = "Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05",

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AB - 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.

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Neural spike communication under noisy environments

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