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New multivariate dependence measures and applications to neural ensembles

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Title: New multivariate dependence measures and applications to neural ensembles
Author: Goodman, Ilan; Johnson, Don
Type: Conference Paper
Keywords: dependence measures; neural coding
Citation: I. Goodman and D. Johnson,"New multivariate dependence measures and applications to neural ensembles," in Statistical Signal Processing Workshop,
Abstract: We develop two new multivariate statistical dependence measures. The first, based on the Kullback-Leibler distance, results in a single value that indicates the general level of dependence among the random variables. The second, based on an orthonormal series expansion of joint probability density functions, provides more detail about the nature of the dependence. We apply these dependence measures to the analysis of simultaneous recordings made from multiple neurons, in which dependencies are time-varying and potentially information bearing.
Date Published: 2003-09-20

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  • ECE Publications [1047 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.