Neural Population Coding is Optimized by Discrete Tuning Curves

Autor:	Nikitin, Alexander P., Stocks, Nigel G., Morse, Robert P., McDonnell, Mark D.
Rok vydání:	2008
Předmět:	Quantitative Biology - Neurons and Cognition
Zdroj:	Physical Review Letters 103, 138101, 2009
Druh dokumentu:	Working Paper
DOI:	10.1103/PhysRevLett.103.138101
Popis:	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. Comment: 7 pages total, including 2 figures, published by Physical Review Letters
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/0809.1549 Zobrazit plný text záznamu View this record from Arxiv