| 书目名称 | Wavelets in Neuroscience |
| 编辑 | Alexander E. Hramov,Alexey A. Koronovskii,Evgenia |
| 视频video | |
| 概述 | 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 computation |
| 丛书名称 | Springer Series in Synergetics |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2021Latest edition |
| 关键词 | Data Analysis in Neurophysics; Dynamical Systems in Neuroscience; Neurodynamics and Neurophysiology; Ne |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-030-75992-6 |
| isbn_softcover | 978-3-030-75994-0 |
| isbn_ebook | 978-3-030-75992-6Series ISSN 0172-7389 Series E-ISSN 2198-333X |
| issn_series | 0172-7389 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:43:00
