Editors:
This first textbook on spike train analysis
Supplies the reader with stochastic modeling tools and numerical methods.
Highlights various prerequisites and pitfalls to avoid potentially wrong interpretations of data.
Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Computational Neuroscience (NEUROSCI, volume 7)
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Table of contents (21 chapters)
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Front Matter
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Basic Spike Train Statistics: Point Process Models
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Front Matter
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Basic spike train statistics: Point process models
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Pairwise Comparison of Spike Trains
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Front Matter
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Multiple-Neuron Spike Patterns
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Front Matter
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Multiple-neuron spike patterns
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Population-Based Approaches
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Front Matter
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About this book
Editors and Affiliations
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Computational Neuroscience Group, RIKEN Brain Science Institute, Saitama, Japan
Sonja Grün
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Bernstein-Zentrum für Computational Neur, Neuroscience, Universität Freiburg, Freiburg, Germany
Stefan Rotter
Bibliographic Information
Book Title: Analysis of Parallel Spike Trains
Editors: Sonja Grün, Stefan Rotter
Series Title: Springer Series in Computational Neuroscience
DOI: https://doi.org/10.1007/978-1-4419-5675-0
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Hardcover ISBN: 978-1-4419-5674-3Published: 30 August 2010
Softcover ISBN: 978-1-4614-2652-3Published: 13 October 2012
eBook ISBN: 978-1-4419-5675-0Published: 18 August 2010
Series ISSN: 2197-1900
Series E-ISSN: 2197-1919
Edition Number: 1
Number of Pages: XX, 444
Topics: Neurosciences, Neurobiology