| 书目名称 | Electromagnetic Brain Imaging |
| 副标题 | A Bayesian Perspecti |
| 编辑 | Kensuke Sekihara,Srikantan S. Nagarajan |
| 视频video | |
| 概述 | Provides a theoretical framework for source imaging methodology.Specific focus on Bayesian algorithms.Unique approach to the recent advances.Includes supplementary material: |
| 图书封面 |  |
| 描述 | .This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.. |
| 出版日期 | Textbook 2015 |
| 关键词 | Bayesian algorithms; Brain source reconstruction methods using MEG and EEG; Electromagnetic brain imag |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-14947-9 |
| isbn_softcover | 978-3-319-35643-3 |
| isbn_ebook | 978-3-319-14947-9 |
| copyright | Springer International Publishing Switzerland 2015 |
发表于 2025-3-21 18:19:17
