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Application of wavelet-based tools to study the dynamics of biological processes |
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| Authors: | Pavlov Alexey N Makarov Valeri A Mosekilde Erik Sosnovtseva Olga V |
| Affiliation: | Department of Physics, Saratov State University, Astrakhanskaya Str. 83, 410026 Saratov, Russia. pavlov@chaos.ssu.runnet.ru |
| Abstract: | 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. |
| Keywords: | rhythmic activity data analysis interaction phenomena information processing double-wavelet approach |
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