Overview
- Derives the cable equation and the Hodgkin Huxley models for excitatory neurons from first principles of biophysics
- Highlights theoretical and computational tools to enhance understanding of both the underlying science and the solutions
- Provides insights into the theory and computation of the underlying cognitive and biological science models that are studied
- Includes supplementary material: sn.pub/extras
Part of the book series: Cognitive Science and Technology (CSAT)
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Table of contents (14 chapters)
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Advise to the Beginner
Keywords
About this book
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Calculus for Cognitive Scientists
Book Subtitle: Partial Differential Equation Models
Authors: James K. Peterson
Series Title: Cognitive Science and Technology
DOI: https://doi.org/10.1007/978-981-287-880-9
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media Singapore 2016
Hardcover ISBN: 978-981-287-878-6Published: 19 February 2016
Softcover ISBN: 978-981-13-5721-3Published: 09 December 2018
eBook ISBN: 978-981-287-880-9Published: 11 February 2016
Series ISSN: 2195-3988
Series E-ISSN: 2195-3996
Edition Number: 1
Number of Pages: XXXI, 534
Number of Illustrations: 156 illustrations in colour
Topics: Computational Intelligence, Theoretical, Mathematical and Computational Physics, Mathematical Models of Cognitive Processes and Neural Networks, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics