Computational Neuroscience: A First Course by Hanspeter A MallotComputational Neuroscience: A First Course by Hanspeter A Mallot

Computational Neuroscience: A First Course

byHanspeter A Mallot

Paperback | June 17, 2015

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Computational Neuroscience - A First Courseprovides 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 Courserepresents 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.

Hanspeter Mallot received his PhD from the Faculty of Biology, University of Mainz, Germany, in 1986. In the following years, he held postdoctoral and research positions at the Massachusetts Institute of Technology, the Ruhr-University Bochum, the Max-Planck-Institute for Biological Cybernetics in Tübingen and the Institute for Advance...
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Title:Computational Neuroscience: A First CourseFormat:PaperbackDimensions:135 pages, 23.5 × 15.5 × 0.17 inPublished:June 17, 2015Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319033069

ISBN - 13:9783319033068

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Table of Contents

Excitable Membranes and Neural Conduction.- Receptive Fields and the Specificity of Neuronal Firing.- Coding and Representation.- Fourier Analysis for Neuroscientists.- Artificial Neural Networks.