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Computational Neuroscience

A First Course

  • Hanspeter A Mallot

Part of the Springer Series in Bio-/Neuroinformatics book series (SSBN, volume 2)

Table of contents

  1. Front Matter
    Pages 1-10
  2. Hanspeter A Mallot
    Pages 1-21
  3. Hanspeter A Mallot
    Pages 57-81
  4. Hanspeter A Mallot
    Pages 83-112
  5. Hanspeter A Mallot
    Pages 113-129
  6. Back Matter
    Pages 131-135

About this book

Introduction

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.

Keywords

Artificial neural networks Associative memory Fourier Analysis for Neuroscientists Membrane potentials Neural Cods and Popuulation Codes Nonlinearities in receptive fields Receptive Fields Retinotopic mapping Self-organization and competitive learning

Authors and affiliations

  • Hanspeter A Mallot
    • 1
  1. 1., Department of BiologyUniversity of TübingenTübingenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-00861-5
  • Copyright Information Springer International Publishing Switzerland 2013
  • Publisher Name Springer, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-319-00860-8
  • Online ISBN 978-3-319-00861-5
  • Series Print ISSN 2193-9349
  • Series Online ISSN 2193-9357
  • Buy this book on publisher's site
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