Springer Series in Computational Neuroscience

Phase Response Curves in Neuroscience

Theory, Experiment, and Analysis

Editors: Schultheiss, Nathan W., Prinz, Astrid A., Butera, Robert J. (Eds.)

  • Tracks advances in the application of phase response (PR) analysis to the study of electrically excitable cells
  • Focuses on applications of PR analysis in the computational neurosciences
  • Uses mathematical, modeling, and experimental results to illustrate how phase response analysis has been used to reveal or describe neuronal and neuronal population dynamics
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eBook $219.00
price for USA (gross)
  • ISBN 978-1-4614-0739-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $279.00
price for USA
  • ISBN 978-1-4614-0738-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $279.00
price for USA
  • ISBN 978-1-4939-0154-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book will track advances in the application of phase response (PR) analysis to the study of electrically excitable cells, focusing on applications of PR analysis in the computational neurosciences. This proposal was motivated by discussions with colleagues at the 2007 meeting of the Organization for Computational Neuroscience (OCNS) and further motivated by the success of a workshop at the 2008 OCNS meeting this past July. At that meeting the editors hosted a workshop entitled A dialogue for theoreticians and experimentalists: What is phase response analysis, and what can it tell us about neurons and networks? Invited speakers used mathematical, modeling, and experimental results to illustrate how phase response analysis has been used to reveal or describe neuronal and neuronal population dynamics. This was the most well-attended workshop of the meeting and was standing room only.

Reviews

From the book reviews:

“This is a very good work on phase response neural modeling involving both single neuron and population neurons networks. Good descriptions of the cortical, subcortical, and brain stem networks is spendidly done and I highly recommend this book for both beginning and advanced physiologists. PRCs and the fourth dimensional models are well described. Students, fellows, and senior investigators will find it illuminating.” (Joseph J. Grenier, Amazon.com, September, 2014)

Table of contents (20 chapters)

  • The Theory of Weakly Coupled Oscillators

    Schwemmer, Michael A. (et al.)

    Pages 3-31

  • Phase Resetting Neural Oscillators: Topological Theory Versus the RealWorld

    Krogh-Madsen, Trine (et al.)

    Pages 33-51

  • A Theoretical Framework for the Dynamics of Multiple Intrinsic Oscillators in Single Neurons

    Remme, Michiel W. H. (et al.)

    Pages 53-72

  • History of the Application of the Phase Resetting Curve to Neurons Coupled in a Pulsatile Manner

    Canavier, Carmen C. (et al.)

    Pages 73-91

  • Experimentally Estimating Phase Response Curves of Neurons: Theoretical and Practical Issues

    Netoff, Theoden (et al.)

    Pages 95-129

Buy this book

eBook $219.00
price for USA (gross)
  • ISBN 978-1-4614-0739-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $279.00
price for USA
  • ISBN 978-1-4614-0738-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $279.00
price for USA
  • ISBN 978-1-4939-0154-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Phase Response Curves in Neuroscience
Book Subtitle
Theory, Experiment, and Analysis
Editors
  • Nathan W. Schultheiss
  • Astrid A. Prinz
  • Robert J. Butera
Series Title
Springer Series in Computational Neuroscience
Series Volume
6
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-0739-3
DOI
10.1007/978-1-4614-0739-3
Hardcover ISBN
978-1-4614-0738-6
Softcover ISBN
978-1-4939-0154-8
Series ISSN
2197-1900
Edition Number
1
Number of Pages
XIV, 518
Topics