Valeri A. Makarov / Evgenia Sitnikova / Alexander E. Hramov / Alexey N. Pavlov / Alexey A. Koronovskii / Vladimir A. Maksimenko
<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>
