Neural population coding is optimized by discrete tuning curves
Nikitin, Alexander P., Stocks, Nigel G., Morse, Robert P. and McDonnell, Mark D.. (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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