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Proceedings Paper

One more reason why neurons need to be noisy
Author(s): Dante R. Chialvo M.D.; A. Vania Apkarian
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Paper Abstract

This note discusses how information contained in a neural message is transmitted depending on two schemes of encoding: stochastic or deterministic. For the first case, it is shown that the rate of information loss is minimized for a range of signal to noise ratios entering the channel with noise and signal amplitude of the same order of magnitude. In contrast, at the deterministic limit, (i.e., signal amplitude very large compared with the noise) the rate of information loss increases; approximately by a power law of the distance traveled by the message. The exponent depends linearly on the time constant of the function relating speed of propagation vs period of excitation of the axon.

Paper Details

Date Published: 5 November 1993
PDF: 7 pages
Proc. SPIE 2036, Chaos in Biology and Medicine, (5 November 1993); doi: 10.1117/12.162729
Show Author Affiliations
Dante R. Chialvo M.D., Santa Fe Institute and SUNY Health Science Ctr. (United States)
A. Vania Apkarian, SUNY Health Science Ctr. (United States)


Published in SPIE Proceedings Vol. 2036:
Chaos in Biology and Medicine
William L. Ditto, Editor(s)

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