Leseprobe
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Wavelets in Neuroscience
Alexey A. Koronovskii, Alexander E. Hramov, Evgenia Sitnikova, et al.
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Springer International Publishing 
Naturwissenschaften, Medizin, Informatik, Technik / Biochemie, Biophysik
Beschreibung
This book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems at different levels: from the microscopic dynamics of individual cells to the macroscopic behavior of large neural networks. It also demonstrates how and where wavelet-based mathematical tools can provide an advantage over classical approaches used in neuroscience. The authors well describe single neuron and populational neural recordings.
This 2nd edition discusses novel areas and significant advances resulting from experimental techniques and computational approaches developed since 2015, and includes three new topics:
• Detection of fEPSPs in multielectrode LFPs recordings.
• Analysis and Real-time Classification of Motor-related EEG Patterns;
The book is a valuable resource for neurophysiologists and physicists familiar with nonlinear dynamical systems and data processing, as well as for graduate students specializing in these and related areas.
Kundenbewertungen
Wavelet Theory and Analysis, Neuronal Networks, Neurodynamics and Neurophysiology, Neuronal Spikes and Activity, Data Analysis in Neurophysics, Dynamical Systems in Neuroscience