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Sinopsis
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.
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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.
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Wavelets in Neuroscience (Springer Series in Synergetics) [Hardcover] Hramov, Alexander E.; Koronovskii, Alexey A.; Makarov, Valeri A.; Maksimenko, Vladimir A.; Pavlov, Alexey N. and Sitnikova, Evgenia
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Wavelets in Neuroscience (Springer Series in Synergetics)
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Wavelets in Neuroscience (Hardcover)
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Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783030759919
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Wavelets in Neuroscience
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Wavelets in neuroscience.
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Cham, Springer-Verlag, 2021
ISBN 10: 3030759911
ISBN 13: 9783030759919
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Hardcover. Second edition. 397 S. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-02283 9783030759919 Sprache: Englisch Gewicht in Gramm: 1050. Nº de ref. del artículo: 2488136
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Wavelets in Neuroscience
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Springer International Publishing Jun 2021, 2021
ISBN 10: 3030759911
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 400 pp. Englisch. Nº de ref. del artículo: 9783030759919
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Wavelets in Neuroscience
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Springer International Publishing, 2021
ISBN 10: 3030759911
ISBN 13: 9783030759919
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Illustrates how the wavelet transform provides new insights into the complex behavior of neural systems Includes the latest topics relevant for a broad audience working in experimental and computational neuroscienceFeatures a self-cont. Nº de ref. del artículo: 463820500
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Wavelets in Neuroscience
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Hardcover. Condición: Brand New. 2nd edition. 384 pages. 9.75x6.50x1.00 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __3030759911
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