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dc.contributor.authorJohnson, Don
Ray, Will
dc.creatorJohnson, Don
Ray, Will 2007-10-31T00:47:46Z 2007-10-31T00:47:46Z 2002-09-20 2002-06-06
dc.identifier.citation D. Johnson and W. Ray, "Optimal stimulus coding by neural populations using rate codes," None, 2002.
dc.description Journal Paper
dc.description.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.
dc.description.sponsorship National Science Foundation
dc.description.sponsorship National Institute of Mental Health
dc.language.iso eng
dc.subjectinformaton processing
neuron population coding
single-neuron coding
dc.subject.otherInformation Processing
dc.title Optimal stimulus coding by neural populations using rate codes
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle None 2003-05-27
dc.contributor.orgDigital Signal Processing (
dc.subject.keywordinformaton processing
neuron population coding
single-neuron coding
dc.type.dcmi Text
dc.type.dcmi Text

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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1278]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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