Neural population coding is optimized by discrete tuning curves
Nikitin, Alexander P., Stocks, Nigel G., Morse, Robert P. and McDonnell, Mark D., 1975-. (2009) Neural population coding is optimized by discrete tuning curves. Physical Review Letters, Vol.103 (No.13). Article: 138101. ISSN 0031-9007Full text not available from this repository.
Official URL: http://dx.doi.org/10.1103/PhysRevLett.103.138101
The sigmoidal tuning curve that maximizes the mutual information for a Poisson neuron, or population of Poisson neurons, is obtained. The optimal tuning curve is found to have a discrete structure that results in a quantization of the input signal. The number of quantization levels undergoes a hierarchy of phase transitions as the length of the coding window is varied. We postulate, using the mammalian auditory system as an example, that the presence of a subpopulation structure within a neural population is consistent with an optimal neural code.
|Item Type:||Journal Article|
|Subjects:||Q Science > QC Physics|
|Divisions:||Faculty of Science > Engineering|
|Journal or Publication Title:||Physical Review Letters|
|Publisher:||American Physical Society|
|Official Date:||25 September 2009|
|Number of Pages:||4|
|Page Range:||Article: 138101|
|Access rights to Published version:||Restricted or Subscription Access|
|Funder:||Engineering and Physical Sciences Research Council (EPSRC), Australian Research Council|
|Grant number:||GR/R35650/01 (EPSRC), EP/D05/1894/1 (EPSRC), DP0770747|
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