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Type: Journal article
Title: Neural population coding is optimized by discrete tuning curves
Author: Nikitin, A.
Stocks, N.
Morse, R.
McDonnell, M.
Citation: Physical Review Letters, 2009; 103(13):138101-1-138101-4
Publisher: American Physical Society
Issue Date: 2009
ISSN: 0031-9007
Statement of
Alexander P. Nikitin, Nigel G. Stocks, Robert P. Morse, and Mark D. McDonnell
Abstract: 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.
Keywords: Neurons; Animals; Mammals; Humans; Poisson Distribution; Sensory Thresholds; Synaptic Transmission; Models, Neurological
Rights: © 2009 The American Physical Society
RMID: 0030013329
DOI: 10.1103/PhysRevLett.103.138101
Grant ID:
Appears in Collections:Electrical and Electronic Engineering publications

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