Details
Wavelets in Neuroscience
Springer Series in Synergetics 2nd ed. 2021
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171,19 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 16.06.2021 |
| ISBN/EAN: | 9783030759926 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>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.</p><p>This 2nd edition discusses novel areas and significant advances resulting from experimental techniques and computational approaches developed since 2015, and includes three new topics:</p><p>• Detection of fEPSPs in multielectrode LFPs recordings.<br></p>• Analysis of Visual Sensory Processing in the Brain and BCI for Human Attention Control;<br><p></p><p>• Analysis and Real-time Classification of Motor-related EEG Patterns;</p><p>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.</p><p><br></p><p><br></p><p></p><p></p>
<p>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.</p><br><p></p>
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<p>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.</p><p>This 2nd edition discusses novel areas and significant advances resulting from experimental techniques and computational approaches developed since 2015, and includes three new topics:</p><p>• Detection of fEPSPs in multielectrode LFPs recordings.<br></p><p>• Analysis of Visual Sensory Processing in the Brain and BCI for Human Attention Control;<br></p><p>• Analysis and Real-time Classification of Motor-related EEG Patterns;</p><p>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.<br></p><p><br></p><p><br></p><p></p><p></p>
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
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