Application of wavelet-based tools to study the dynamics of biological processes.
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.
Pavlov
Alexey N
AN
Department of Physics, Saratov State University, Astrakhanskaya Str. 83, 410026 Saratov, Russia. pavlov@chaos.ssu.runnet.ru
Makarov
Valeri A
VA
Mosekilde
Erik
E
Sosnovtseva
Olga V
OV
D000818:Animals; D003198:Computer Simulation; D006973:Hypertension / Q000378:metabolism; D008432:Mathematical Computing; D053858:Metabolic Networks and Pathways; D008857:Microscopy, Interference; D009399:Nephrons / Q000378:metabolism; D009474:Neurons / Q000502:physiology; D009991:Oscillometry; D051381:Rats; D011918:Rats, Inbred SHR; D012815:Signal Processing, Computer-Assisted; D012908:Snails / Q000378:metabolism; D012984:Software; D014278:Trigeminal Nuclei / Q000378:metabolism