Ten lectures on wavelets
Wavelets for computer graphics: theory and applications
Wavelets for computer graphics: theory and applications
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Single neuron transient activity detection by means of tomography
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
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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.