Table of contents for MATLAB for neuroscientists : an introduction to scientific computing of MATLAB / Pascal Wallisch ... [et al.].

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.

@TOC= Contents
How to Use the Book and the Online Repository
Part I: Fundamentals
1. Introduction
2. Tutorial
Part II: Data Collection with MATLAB
3. Visual Search and Pop Out
4. Attention
5. Psychophysics
6. Signal Detection Theory 
Part III: Data Analysis with MATLAB
7. Frequency Analysis Part I: Fourier Decomposition
8. Frequency Analysis Part II: Nonstationary Signals and Spectrograms
9. Wavelets
10. Convolution
11. Introduction to Phase Plane Analysis
12. Exploring the Fitzhugh-Nagumo Model
13. Neural Data Analysis: Encoding
14. Principal Components Analysis
15. Information Theory
16. Neural Decoding Part I: Discrete variables
17. Neural Decoding Part II: Continuous variables
18. Functional Magnetic Imaging
Part IV: Data Modeling with MATLAB
19. Voltage-Gated Ion Channels
20. Models of a Singe Neuron
21. Models of the Retina
22. Simplified Models of Spiking Neurons
23. Fitzhugh-Nagumo Model: Traveling Waves
24. Decision Theory
25. Markov Model
26. Modeling Spike Trains as a Poisson Process
27. Synaptic Transmission
28. Neural Networks Part I: Unsupervised Learning
29. Neural Network Part II: Supervised Learning
Appendix A: Thinking in MATLAB
Appendix B: Linear Algebra Review
Appendix C: Master Equation List

Library of Congress Subject Headings for this publication:

Neuroscience -- Data processing.
Computing Methodologies.