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Wavelets in neuroscience

Hramov, Alexander E.

Wavelets in neuroscience

Record Type:	Electronic resources : Monograph/item
Title/Author:	Wavelets in neuroscienceby Alexander E. Hramov ... [et al.].
other author:	Hramov, Alexander E.
Published:	Cham :Springer International Publishing :2021.
Description:	xvi, 384 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Wavelets (Mathematics)
Online resource:	https://doi.org/10.1007/978-3-030-75992-6
ISBN:	9783030759926$q(electronic bk.)

Wavelets in neuroscience
Wavelets in neuroscience[electronic resource] /by Alexander E. Hramov ... [et al.]. - Second edition. - Cham :Springer International Publishing :2021. - xvi, 384 p. :ill. (some col.), digital ;24 cm. - Springer series in synergetics,0172-7389. - Springer series in synergetics..

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.

ISBN: 9783030759926$q(electronic bk.)

Standard No.: 10.1007/978-3-030-75992-6doiSubjects--Topical Terms:

182734
Wavelets (Mathematics)

LC Class. No.: QA403.3

Dewey Class. No.: 515.2433

Wavelets in neuroscience
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505 0 $a 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.
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