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Four top reasons why mutual information does not assess neural information processing

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Title: Four top reasons why mutual information does not assess neural information processing
Author: Johnson, Don
Type: Conference Paper
Keywords: mutual information; information theory; information processing
Citation: D. Johnson,"Four top reasons why mutual information does not assess neural information processing," in Computational Neuroscience Meeting,
Abstract: Mutual information between stimulus and response has been advocated as an information theoretic measure of a neural system's capability to process information. Once calculated, the result is a single number that supposedly captures the system's information characteristics over the range of stimulus conditions used to measure it. I show that mutual information is a flawed measure, the standard approach to measuring it has theoretical difficulties, and that relating capacity to information processing capability is quite complicated.
Date Published: 2002-07-20

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  • ECE Publications [1045 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.