Paper
5 November 1993 One more reason why neurons need to be noisy
Dante R. Chialvo M.D., A. Vania Apkarian
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dante R. Chialvo M.D. and A. Vania Apkarian "One more reason why neurons need to be noisy", Proc. SPIE 2036, Chaos in Biology and Medicine, (5 November 1993); https://doi.org/10.1117/12.162729
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Cited by 2 scholarly publications.
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KEYWORDS
Axons

Signal to noise ratio

Receptors

Sensors

Interference (communication)

Neurons

Stochastic processes

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