A hierarchy of phase transitions in optimal neuronal coding:from binary to M-ary discrete optimal codes


We have investigated how optimal coding for neural systems changes with the time available for decoding. Optimization was in terms of maximizing information transmission. We have estimated the parameters for Poisson neurons that optimize Shannon transinformation with the assumption of rate coding. We observed a hierarchy of phase transitions from binary coding, for small decoding times, toward discrete (M-ary) coding with two, three and more quantization levels for larger decoding times. We postulate that the presence of subpopulations with specific neural characteristics could be a signiture of an optimal population coding scheme and we use the mammalian auditory system as an example.

Publication DOI: https://doi.org/10.1117/12.724410
Divisions: College of Health & Life Sciences > School of Optometry > Audiology
College of Health & Life Sciences > Clinical and Systems Neuroscience
College of Health & Life Sciences
College of Health & Life Sciences > School of Optometry > Vision, Hearing and Language
College of Health & Life Sciences > School of Optometry > Centre for Vision and Hearing Research
Additional Information: A. Nikitin ; N. G. Stocks and R. P. Morse "A hierarchy of phase transitions in optimal neuronal coding: from binary to M -ary discrete optimal codes", Proc. SPIE 6602, Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems, 66020H (June 08, 2007); Copyright 2007 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/10.1117/12.724410
Event Title: Noise and fluctuations in biological, biophysical, and biomedical systems
Event Type: Other
Event Dates: 2007-01-21 - 2007-01-23
Uncontrolled Keywords: mutual information,phase transition,optimal neuronal coding,Electrical and Electronic Engineering,Condensed Matter Physics
ISBN: 0-8194-6739-1, 978-0-8194-6739-3
Last Modified: 03 Jan 2024 17:29
Date Deposited: 22 Oct 2014 11:35
Full Text Link: http://proceedi ... ticleid=1304278
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2007
Authors: Nikitin, A.
Stocks, N.G.
Morse, R.P.



Version: Published Version

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