Wavelets in neuroscience

by Hramov, Alexander E.

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Title Statements

Full title :Wavelets in neuroscience / Alexander E. Hramov, Alexey A. Koronovskii, Valeri A. Makarov, Vladimir A. Maksimenko, Alexey N. Pavlov, Evgenia Sitnikova.

Summary

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 of Visual Sensory Processing in the Brain and BCI for Human Attention Control; 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.

Edition Statements

Publication Date:2021.
Edition:Second edition

Publication Statements

Publisher(s):Springer
Place of Publication:Cham, Switzerland
Language:eng
Publication Date:2021.

The Physical Object

Description:1 online resource (xvi, 384 pages) : : illustrations (some color)

Edition Identifiers

ISBN:9783030759926, 303075992X
DOI:10.1007/978-3-030-75992-6
oclc:on1257787838
LC Classification:QA403.3
Dewey Decimal:515.2433

Mathematical Methods of Signal Processing in Neuroscience -- Brief Tour of Wavelet Theory -- Analysis of Single Neuron Recordings -- Classification of Neuronal Spikes from Extracellular Recordings -- Analysis of Gamma-Waves in Multielectrode LFP Recordings -- Wavelet Approach to the Study of Rhythmic Neuronal Activity -- Wavelet-based Approach to Epilepsy -- Analysis of Visual Sensory Processing in the Brain and Brain-Computer Interfaces for Human Attention Control -- Analysis and Real-Time Classiﬁcation of Motor-related EEG and MEG Patterns -- Conclusion.