Makarov Slizneva, ValeriyPavlov, Alexey N.Mosekilde, ErikSosnovtseva, Olga V.2023-06-202023-06-202006-121467-546310.1093/bib/bbl041https://hdl.handle.net/20.500.14352/50145The 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.engApplication of wavelet-based tools to study the dynamics of biological processesjournal articlehttp://bib.oxfordjournals.org/content/7/4/375.full.pdf+htmlhttp://bib.oxfordjournals.org/restricted access51:004Rhythmic activityData analysisInteraction phenomenaInformation processingDouble-wavelet approachProgramación de ordenadores (Informática)1203.23 Lenguajes de Programación