Peterson, James K.
Calculus for Cognitive Scientists
Part I. Introductory Matter
1. Introduction
James K. Peterson
Part II. Quantitative Tools
2. Graham–Schmidt Orthogonalization
James K. Peterson
3. Numerical Differential Equations
James K. Peterson
Part III. Deriving the Cable Model
4. Biological Molecules
James K. Peterson
5. Ion Movement
James K. Peterson
6. Lumped and Distributed Cell Models
James K. Peterson
7. Time Independent Solutions to Infinite Cables
James K. Peterson
8. Time Independent Solutions to Finite and Half-Infinite Space Cables
James K. Peterson
Part IV. Excitable Neuron Models
9. A Primer on Series Solutions
James K. Peterson
10. Linear Partial Differential Equations
James K. Peterson
11. Simplified Dendrite—Soma—Axon Information Processing
James K. Peterson
12. The Basic Hodgkin–Huxley Model
James K. Peterson
Part V. Summing It All Up
13. Final Thoughts
James K. Peterson
Part VI. Advise to the Beginner
14. Background Reading
James K. Peterson
Nyckelord: Engineering, Computational Intelligence, Theoretical, Mathematical and Computational Physics, Mathematical Models of Cognitive Processes and Neural Networks, Artificial Intelligence (incl. Robotics), Computer Imaging, Vision, Pattern Recognition and Graphics
- Författare
- Peterson, James K.
- Utgivare
- Springer
- Utgivningsår
- 2016
- Språk
- en
- Utgåva
- 1st ed. 2016
- Serie
- Cognitive Science and Technology
- Sidantal
- 31 sidor
- Kategori
- Teknologi, energi, trafik
- Format
- E-bok
- eISBN (PDF)
- 9789812878809
- Tryckt ISBN
- 978-981-287-878-6