| 書目名稱 | Computational Systems Neurobiology | | 編輯 | N. Le Novère | | 視頻video | http://file.papertrans.cn/234/233168/233168.mp4 | | 概述 | Covers the whole spectrum of computational modeling of neuronal systems, from the molecule to the organ.Contains several introductory chapters for newcomers, but also describes state of the art resear | | 圖書封面 |  | | 描述 | Computational neurosciences and systems biology are among the main domains of life science research where mathematical modeling made a difference. This book introduces the many different types of computational studies one can develop to study neuronal systems. It is aimed at undergraduate students starting their research in computational neurobiology or more senior researchers who would like, or need, to move towards computational approaches. Based on their specific project, the readers would then move to one of the more specialized excellent textbooks available in the field. The first part of the book deals with molecular systems biology. Functional genomics is introduced through examples of transcriptomics and proteomics studies of neurobiological interest. Quantitative modelling of biochemical systems is presented in homogeneous compartments and using spatial descriptions. A second part deals with the various approaches to model single neuron physiology, and naturally moves to neuronal networks. A division is focused on the development of neurons and neuronal systems and the book closes on a series of methodological chapters. From the molecules to the organ, thinking at the leve | | 出版日期 | Book 2012 | | 關鍵詞 | computational neurobiology; dynamical modeling; networks; neuron; systems biology | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-007-3858-4 | | isbn_softcover | 978-94-017-8380-4 | | isbn_ebook | 978-94-007-3858-4 | | copyright | Springer Science+Business Media Dordrecht 2012 |
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