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Published in:
2009 | OriginalPaper | Chapter
A Wavelet Based Method for Detecting Multiple Encoding Rhythms in Neural Networks
Authors : Carlos Aguirre, Pedro Pascual
Published in: Bio-Inspired Systems: Computational and Ambient Intelligence
Publisher: Springer Berlin Heidelberg
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In this work we propose the use of the discrete wavelet transform for the detection of multiple encoding rhythms that appear, for example, in spatio-temporal patterns generated by neuronal activity in a set of coupled neurons. The method here presented allows a quantitative characterization of spatio-temporal patterns and is based on the behavior of a compression-like scheme. The wavelet-based method is faster than the two-dimensional spectral methods for finding different rhythms on spatio-temporal patterns, as it has a computational complexity
O
(
width
×
height
) for each 2D-frame of the spatio-temporal pattern. The method also provides a easy method for classifying different qualitative behaviors of the patterns.