Wavelets in Neuroscience
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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 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. 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.
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 neuroscience Features a self-contained introduction and review of an emerging topic Suitable as graduate-level text for non-specialists and students
Autor*in
Alexander E. Hramov
Themen in »Wavelets in Neuroscience«
Data Analysis in Neurophysics Dynamical Systems in Neuroscience Neurodynamics and Neurophysiology Neuronal Networks Neuronal Spikes and Activity Wavelet Theory and Analysis