| 書目名稱 | Nonlinear Dynamics in Computational Neuroscience |
| 編輯 | Fernando Corinto,Alessandro Torcini |
| 視頻video | http://file.papertrans.cn/668/667433/667433.mp4 |
| 概述 | Offers an essential reference guide for neuroscientists using computational methods in their daily work, as well as any theoretical scientists just getting started in the field of computational neuros |
| 叢書名稱 | PoliTO Springer Series |
| 圖書封面 |  |
| 描述 | .This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and platforms for neuromorphic computation. Written by leading experts in such diverse fields as neuroscience, physics, psychology, neural engineering, cognitive science and applied mathematics, the book reflects the remarkable advances that have been made in the field of computational neuroscience, an emerging discipline devoted to the study of brain functions in terms of the information-processing properties of the structures forming the nervous system. The contents build on the workshop “Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT,” which was held in Torino, Italy in September 2015.. |
| 出版日期 | Book 2019 |
| 關鍵詞 | Neuromorphic Systems; Translational Neuroscience; Biomedical Signals; CMOS Transistors; Memristor; Neuron |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-71048-8 |
| isbn_softcover | 978-3-030-10009-4 |
| isbn_ebook | 978-3-319-71048-8Series ISSN 2509-6796 Series E-ISSN 2509-7024 |
| issn_series | 2509-6796 |
| copyright | Springer International Publishing AG, part of Springer Nature 2019 |
|Archiver|手機版|小黑屋|
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