Wavelets in Neuroscience

by Alexander E. Hramov, Alexey A. Koronovskii, Valeri A. Makarov, Vladimir A. Maksimenko, Alexey N. Pavlov

Overview

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.

Product Details

ISBN-13:	9783030759940
Publisher:	Springer International Publishing
Publication date:	06/17/2021
Series:	Springer Series in Synergetics
Edition description:	Second Edition 2021
Pages:	384
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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.

Editorial Reviews

This book is an excellent description of single neuron and populational neural recordings. … This is a very good book for physiologists, mathematicians, neurologists, anesthetists, neurosurgeons, and students with a specialized interest of neural recordings and functioning. … This book is current and cutting edge as far as neurophysiology is concerned. Many ideas can be acquired for the experimentalists through the studying of this work.” (Joseph J. Grenier, Amazon.com, July, 2015)

“This book gives an introduction to wavelets and then proceeds to demonstrate their use in a neural context. … should be of interest to anyone involved in analysing real neural recordings.” (Carlo Laing, zbMATH 1317.92003, 2015)

From the Publisher