%0 Journal Article
%T Theoretical Analysis of Cross-Correlation of Time-Series Signals Computed by a Time-Delayed Hebbian Associative Learning Neural Network
%A David Tam
%J The Open Cybernetics & Systemics Journal
%D 2007
%I Bentham Open
%R 10.2174/1874110X00701010001]
%X A theoretical proof of the computational function performed by a time-delayed neural network implementing a Hebbian associative learning-rule is shown to compute the equivalent of cross-correlation of time-series functions, showing the relationship between correlation coefficients and connection-weights. The values of the computed correlation coefficients can be retrieved from the connection-weights.
%U http://www.benthamscience.com/open/tocsj/articles/V001/1TOCSJ.htm