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Titlebook: Computational Neuroscience; A First Course Hanspeter A Mallot Textbook 20131st edition Springer International Publishing Switzerland 2013 A

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书目名称Computational Neuroscience
副标题A First Course
编辑Hanspeter A Mallot
视频videohttp://file.papertrans.cn/233/232862/232862.mp4
概述A self-contained introduction to fundamental theories and basic methods for computational neuroscientists.Keeps mathematical concepts as intuitive and simple as possible and provides routes of explana
丛书名称Springer Series in Bio-/Neuroinformatics
图书封面Titlebook: Computational Neuroscience; A First Course Hanspeter A Mallot Textbook 20131st edition Springer International Publishing Switzerland 2013 A
描述.Computational Neuroscience - A First Course. provides an essential introduction to computational neuroscience and  equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, .Computational Neuroscience - A First Course. represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience..
出版日期Textbook 20131st edition
关键词Artificial neural networks; Associative memory; Fourier Analysis for Neuroscientists; Membrane potentia
版次1
doihttps://doi.org/10.1007/978-3-319-00861-5
isbn_softcover978-3-319-03306-8
isbn_ebook978-3-319-00861-5Series ISSN 2193-9349 Series E-ISSN 2193-9357
issn_series 2193-9349
copyrightSpringer International Publishing Switzerland 2013
The information of publication is updating

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,Neue Trends — Viele Mißverständnisse,for scientific computing in general. It is included here not so much because it is a genuine part of computational neuroscience, but because computational and systems neuroscience make extensive use of it. It is closely related to systems theory as introduced in the previous chapter but is also usef
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https://doi.org/10.1007/978-3-030-18222-9o generally occur in different cells. The information is contained in the specificity, or tuning curve of the cell generating the spike. This may be considered a modern account of the notion of the “specific sense energies” formulated by Johannes Müller already in 1826. In effect, any stimulation of
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https://doi.org/10.1007/978-3-319-00861-5Artificial neural networks; Associative memory; Fourier Analysis for Neuroscientists; Membrane potentia
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