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Optimal stimulus coding by neural populations using rate codes

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Title: Optimal stimulus coding by neural populations using rate codes
Author: Johnson, Don; Ray, Will
Type: Journal Paper
Keywords: informaton processing; neuron population coding; single-neuron coding
Citation: D. Johnson and W. Ray, "Optimal stimulus coding by neural populations using rate codes," None, 2002.
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.
Date Published: 2002-09-20

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  • ECE Publications [1034 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.