[PDF.68ra] Computational Modeling Methods for Neuroscientists (Computational Neuroscience Series)

Computational Modeling Methods for Neuroscientists (Computational Neuroscience Series)

[PDF.mo17] Computational Modeling Methods for Neuroscientists (Computational Neuroscience Series)

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 | #1195781 in Books |  2009-09-04 | Original language:English | PDF # 1 |  9.00 x.69 x7.00l,1.82 | File type: PDF | 432 pages

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||6 of 6 people found the following review helpful.| An indispensable reference|By TB|It sometimes seems to me that books on computational neuroscience are split into two categories: Books for people who want to understand the theory behind the models, and books for people who want to build and run models. This book is useful for the former, but indispensable for the latter. The coverage ranges from low-level topics (calcium dy| ||[S]uccessfully integrated data-driven modeling with experimental work…all of the material is accessible to experimentalists. (Mathematical s)

|Neuroscientists with a computational background will benefit most from this book, and will

This book offers an introduction to current methods in computational modeling in neuroscience. The book describes realistic modeling methods at levels of complexity ranging from molecular interactions to large neural networks. A "how to" book rather than an analytical account, it focuses on the presentation of methodological approaches, including the selection of the appropriate method and its potential pitfalls. It is intended for experimental neuroscientists and gra...

You easily download any file type for your device.Computational Modeling Methods for Neuroscientists (Computational Neuroscience Series)   |  From The MIT Press.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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