The Shape of Neural Dependence

DOI10.1162/089976604322860659zbMath1054.62134OpenAlexW2115686767WikidataQ35693356 ScholiaQ35693356MaRDI QIDQ4819810

Richard A. Reale, Rick L. Jenison

Publication date: 5 October 2004

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976604322860659

zbMATH Keywords

copulascopula differential entropy

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Neural biology (92C20) Statistical aspects of information-theoretic topics (62B10)

Related Items (5)

Non-parametric estimation of mutual information through the entropy of the linkage ⋮ Can Spike Coordination Be Differentiated from Rate Covariation? ⋮ Incorporating Regular Vines in Estimation of Distribution Algorithms ⋮ A copula entropy approach to correlation measurement at the country level ⋮ Generating Spike Trains with Specified Correlation Coefficients

Cites Work

• A class of bivariate distributions including the bivariate logistic
• Some recent advances in time series modeling

This page was built for publication: The Shape of Neural Dependence