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|Title:||Neural population coding is optimized by discrete tuning curves|
|Citation:||Physical Review Letters, 2009; 103(13):138101-1-138101-4|
|Publisher:||American Physical Society|
|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|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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