A hierarchy of phase transitions in optimal neuronal coding: from binary to M-ary discrete optimal codes - art. no. 66020H
Nikitin, A., Stocks, Nigel G. and Morse, R. P. (2007) A hierarchy of phase transitions in optimal neuronal coding: from binary to M-ary discrete optimal codes - art. no. 66020H. In: Conference on Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems, Florence, ITALY, MAY 21-23, 2007. Published in: Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems, 6602 H6020-H6020.Full text not available from this repository.
Official URL: http://dx.doi.org/10.1117/12.724410
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 14 and we use the mammalian auditory system as an example.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||Q Science > QC Physics|
|Divisions:||Faculty of Science > Engineering|
|Series Name:||PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)|
|Journal or Publication Title:||Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems|
|Publisher:||SPIE-INT SOC OPTICAL ENGINEERING|
|Number of Pages:||9|
|Title of Event:||Conference on Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems|
|Location of Event:||Florence, ITALY|
|Date(s) of Event:||MAY 21-23, 2007|
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