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 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 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)
"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)