| 书目名称 | Quantitative Neuroscience | | 副标题 | Models, Algorithms, | | 编辑 | P. M. Pardalos,J. C. Sackellares,L. D. Iasemidis | | 视频video | | | 丛书名称 | Biocomputing | | 图书封面 |  | | 描述 | Advances in the field of signal processing, nonlinear dynamics, statistics, and optimization theory, combined with marked improvement in instrumenta tion and development of computers systems, have made it possible to apply the power of mathematics to the task of understanding the human brain. This verita ble revolution already has resulted in widespread availability of high resolution neuroimaging devices in clinical as well as research settings. Breakthroughs in functional imaging are not far behind. Mathematical tech niques developed for the study of complex nonlinear systems and chaos already are being used to explore the complex nonlinear dynamics of human brain phys iology. Global optimization is being applied to data mining expeditions in an effort to find knowledge in the vast amount of information being generated by neuroimaging and neurophysiological investigations. These breakthroughs in the ability to obtain, store and analyze large datasets offer, for the first time, exciting opportunities to explore the mechanisms underlying normal brain func tion as well as the affects of diseases such as epilepsy, sleep disorders, movement disorders, and cognitive disorders that | | 出版日期 | Book 2004 | | 关键词 | algorithms; complex system; data mining; diagnostics; dynamical systems; magnetic resonance; magnetic reso | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4613-0225-4 | | isbn_softcover | 978-1-4613-7951-5 | | isbn_ebook | 978-1-4613-0225-4Series ISSN 1571-4861 | | issn_series | 1571-4861 | | copyright | Springer Science+Business Media New York 2004 |
The information of publication is updating
|
|
发表于 2025-3-21 18:45:47
