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Proceedings Article

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

[+] Author Affiliations
A. Nikitin, N. G. Stocks

Univ. of Warwick (United Kingdom)

R. P. Morse

Univ. of Aston (United Kingdom)

Proc. SPIE 6602, Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems, 66020H (June 08, 2007); doi:10.1117/12.724410
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From Conference Volume 6602

  • Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems
  • Sergey M. Bezrukov
  • Florence, Italy | May 20, 2007

abstract

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.

© (2007) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Topics

Nerve ; Quantization
Citation

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); doi:10.1117/12.724410; http://dx.doi.org/10.1117/12.724410


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