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