Neural Population Coding is Optimized by Discrete Tuning Curves

Details Neural Population Coding is Optimized by Discrete Tuning Curves Neural Population Coding is Optimized by Discrete Tuning Curves

2008-09-09

arxiv.org/abs/0809.1549v2

Physical Review Letters 103, 138101, 2009

Biology

Quantitative Biology

Neurons and Cognition

7 pages total, including 2 figures, published by Physical Review Letters

Scientific paper

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.

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