Neural population coding is optimized by discrete tuning curves

Nikitin, Alexander P., Stocks, Nigel G., Morse, Robert P and McDonnell, Mark D. (2009). Neural population coding is optimized by discrete tuning curves. Physical Review Letters, 103 (13), p. 138101.

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.

Publication DOI: https://doi.org/10.1103/PhysRevLett.103.138101
Divisions: Life & Health Sciences > Audiology
Life & Health Sciences > Clinical and Systems Neuroscience
Life & Health Sciences
Life & Health Sciences > Vision, Hearing and Language
Life & Health Sciences > Centre for Vision and Hearing Research
Additional Information: © 2009 The American Physical Society.
Uncontrolled Keywords: animals,humans,mammals,neurological models,neurons,Poisson distribution,sensory thresholds,synaptic transmission,Physics and Astronomy(all)
Full Text Link: http://link.aps ... Lett.103.138101
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2009-09-22
Authors: Nikitin, Alexander P.
Stocks, Nigel G.
Morse, Robert P
McDonnell, Mark D.

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