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    Optimal stimulus coding by neural populations using rate codes

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    Author
    Johnson, Don; Ray, Will
    Date
    2002-09-20
    Abstract
    We create a framework based on Fisher information for determining the most effective population coding scheme for representing a continuous-valued stimulus attribute over its entire range. Using this scheme, we derive optimal single- and multi-neuron rate codes for homogeneous populations using several statistical models frequently used to describe neural data. We show that each neuron's discharge rate should increase quadratically with the stimulus and that statistically independent neural outputs provides optimal coding. Only cooperative populations can achieve this condition in an informationally effective way.
    Description
    Journal Paper
    Citation
    D. Johnson and W. Ray, "Optimal stimulus coding by neural populations using rate codes," None, 2002.
    Published Version
    http://dx.doi.org/10.1023/B:JCNS.0000014106.09948.83
    Keyword
    informaton processing; neuron population coding; single-neuron coding; Information Processing; informaton processing; More... neuron population coding; single-neuron coding Less...
    Type
    Journal article
    Citable link to this page
    https://hdl.handle.net/1911/19972
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    • DSP Publications [508]
    • ECE Publications [1483]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map