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https://hdl.handle.net/2440/87453
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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 1079-7114 |
Statement of Responsibility: | 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 |
DOI: | 10.1103/PhysRevLett.103.138101 |
Grant ID: | http://purl.org/au-research/grants/arc/DP0770747 |
Published version: | http://dx.doi.org/10.1103/physrevlett.103.138101 |
Appears in Collections: | Aurora harvest 2 Electrical and Electronic Engineering publications |
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