| 书目名称 | Neuronal Noise | | 编辑 | Alain Destexhe,Michelle Rudolph-Lilith | | 视频video | http://file.papertrans.cn/665/664274/664274.mp4 | | 概述 | Neuronal Noise combines experimental, theoretical and computational results to show how noise is inherent to neuronal activity.The book covers many aspects of noise in neurons, with an emphasis on the | | 丛书名称 | Springer Series in Computational Neuroscience | | 图书封面 |  | | 描述 | .Neuronal Noise. combines experimental, theoretical and computational results to show how noise is inherent to neuronal activity, and how noise can be important for neuronal computations. The book covers many aspects of noise in neurons, with an emphasis on the largest source of noise: synaptic noise. It provides students and young researchers with an overview of the important methods and concepts that have emerged from research in this area. It also provides the specialist with a summary of the large body of sometimes contrasting experimental data, and different theories proposed to explore the computational power that various forms of "noise" can confer to neurons.. | | 出版日期 | Book 2012 | | 关键词 | neurons; synaptic noise | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-79020-6 | | isbn_softcover | 978-1-4899-9029-7 | | isbn_ebook | 978-0-387-79020-6Series ISSN 2197-1900 Series E-ISSN 2197-1919 | | issn_series | 2197-1900 | | copyright | Springer Science+Business Media, LLC 2012 |
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