期刊
BRIEFINGS IN BIOINFORMATICS
卷 7, 期 4, 页码 375-389出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbl041
关键词
rhythmic activity; data analysis; interaction phenomena; information processing; double-wavelet approach
The article makes use of three different examples (sensory information processing in the rat trigeminal complex, intracellular interaction in snail neurons and multimodal dynamics in nephron autoregulation) to demonstrate how modern approaches to time-series analysis based on the wavelet-transform can provide information about the underlying complex biological processes.
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