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.