MATLAB for Neuroscientists

MATLAB for Neuroscientists

An Introduction to Scientific Computing in MATLAB

1st Edition - October 29, 2008

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  • Authors: Pascal Wallisch, Michael Lusignan, Marc Benayoun, Tanya Baker, Adam Dickey, Nicholas Hatsopoulos
  • eBook ISBN: 9780080923284

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Description

MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB is the first comprehensive teaching resource and textbook for the teaching of MATLAB in the Neurosciences and in Psychology. MATLAB is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. As students advance in their research careers, they will have achieved the fluency required to understand and adapt more specialized tools as opposed to treating them as "black boxes". Virtually all computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were collected in the labs of the authors, providing the casual student with the look and feel of real data. In some cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research.

Key Features

  • The first comprehensive textbook on MATLAB with a focus for its application in neuroscience
  • Problem based educational approach with many examples from neuroscience and cognitive psychology using real data
  • Authors are award-winning educators with strong teaching experience

Readership

Undergraduate and graduate students in systems, cognitive, and behavioral neuroscience, cognitive psychology, and related fields, as well as researchers in these fields who use Matlab

Table of Contents

  • Chapter 1. Introduction

    • Publisher Summary

    Chapter 2. MATLAB Tutorial

    • Publisher Summary
    • 2.1 Goal of this Chapter
    • 2.2 Basic Concepts
    • 2.3 Graphics and Visualization
    • 2.4 Function and Scripts
    • 2.5 Data Analysis
    • 2.6 A Word on Function Handles
    • 2.7 The Function Browser
    • 2.8 Summary
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 3. Visual Search and Pop Out

    • Publisher Summary
    • 3.1 GOALS OF THIS CHAPTER
    • 3.2 BACKGROUND
    • 3.3 EXERCISES
    • 3.4 PROJECT
    • MATLAB FUNCTIONS, COMMANDS, AND OPERATORS COVERED IN THIS CHAPTER

    Chapter 4. Attention

    • Publisher Summary
    • 4.1 GOALS OF THIS CHAPTER
    • 4.2 BACKGROUND
    • 4.3 EXERCISES
    • 4.4 PROJECT
    • MATLAB FUNCTIONS, COMMANDS, AND OPERATORS COVERED IN THIS CHAPTER

    Chapter 5. Psychophysics

    • Publisher Summary
    • 5.1 Goals of this Chapter
    • 5.2 Background
    • 5.3 Exercises
    • 5.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 6. Signal Detection Theory

    • Publisher Summary
    • 6.1 Goals of this Chapter
    • 6.2 Background
    • 6.3 Exercises
    • 6.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 7. Frequency Analysis Part I: Fourier Decomposition

    • Publisher Summary
    • 7.1 Goals of this Chapter
    • 7.2 Background
    • 7.3 Exercises
    • 7.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 8. Frequency Analysis Part II: Nonstationary Signals and Spectrograms

    • Publisher Summary
    • 8.1 Goal of this Chapter
    • 8.2 Background
    • 8.3 Exercises
    • 8.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 9. Wavelets

    • Publisher Summary
    • 9.1 Goals of this Chapter
    • 9.2 Background
    • 9.3 Exercises
    • 9.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 10. Convolution

    • Publisher Summary
    • 10.1 Goals of this Chapter
    • 10.2 Background
    • 10.3 Exercises
    • 10.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 11. Introduction to Phase Plane Analysis

    • Publisher Summary
    • 11.1 Goal of this Chapter
    • 11.2 Background
    • 11.3 Exercises
    • 11.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 12. Exploring the Fitzhugh-Nagumo Model

    • Publisher Summary
    • 12.1 The Goal of this Chapter
    • 12.2 Background
    • 12.3 Exercises
    • 12.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 13. Neural Data Analysis: Encoding

    • Publisher Summary
    • 13.1 Goals of this Chapter
    • 13.2 Background
    • 13.3 Exercises
    • 13.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 14. Principal Components Analysis

    • Publisher Summary
    • 14.1 Goals of this Chapter
    • 14.2 Background
    • 14.3 Exercises
    • 14.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 15. Information Theory

    • Publisher Summary
    • 15.1 Goals of this Chapter
    • 15.2 Background
    • 15.3 Exercises
    • 15.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 16. Neural Decoding Part I: Discrete Variables

    • Publisher Summary
    • 16.1 Goals of this Chapter
    • 16.2 Background
    • 16.3 Exercises
    • 16.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 17. Neural Decoding Part II: Continuous Variables

    • Publisher Summary
    • 17.1 Goals of this Chapter
    • 17.2 Background
    • 17.3 Exercises
    • 17.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 18. Functional Magnetic Imaging

    • Publisher Summary
    • 18.1 Goals of this Chapter
    • 18.2 Background
    • 18.3 Exercises
    • 18.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 19. Voltage-Gated Ion Channels

    • Publisher Summary
    • 19.1 Goal of this Chapter
    • 19.2 Background
    • 19.3 Exercises
    • 19.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 20. Models of a Single Neuron

    • Publisher Summary
    • 20.1 Goal of this Chapter
    • 20.2 Background
    • 20.3 Exercises
    • 20.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 21. Models of the Retina

    • Publisher Summary
    • 21.1 Goal of this Chapter
    • 21.2 Background
    • 21.3 Exercises
    • 21.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 22. Simplified Model of Spiking Neurons

    • Publisher Summary
    • 22.1 Goal of this Chapter
    • 22.2 Background
    • 22.3 Exercises
    • 22.4 Project
    • Matlab Functions, Commands, And Operators Covered in this Chapter

    Chapter 23. Fitzhugh-Nagumo Model: Traveling Waves

    • Publisher Summary
    • 23.1 Goals of this Chapter
    • 23.2 Background
    • 23.3 Exercises
    • 23.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 24. Decision Theory

    • Publisher Summary
    • 24.1 Goals of this Chapter
    • 24.2 Background
    • 24.3 Exercises
    • 24.4 Project
    • MATLAB functions, commands, and Operators Covered in this Chapter

    Chapter 25. Markov Models

    • Publisher Summary
    • 25.1 Goal of this Chapter
    • 25.2 Background
    • 25.3 Exercises
    • 25.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 26. Modeling Spike Trains as a Poisson Process

    • Publisher Summary
    • 26.1 Goals of this Chapter
    • 26.2 Background
    • 26.3 Exercises
    • 26.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 27. Synaptic Transmission

    • Publisher Summary
    • 27.1 Goals of this Chapter
    • 27.2 Background
    • 27.3 Exercises
    • 27.4 Project: Combining Vesicular Release with Diffusion
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 28. Neural Networks Part I: Unsupervised Learning

    • Publisher Summary
    • 28.1 Goals of this Chapter
    • 28.2 Background
    • 28.3 Trying out a neural network
    • 28.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Chapter 29. Neural Network Part II: Supervised Learning

    • Publisher Summary
    • 29.1 Goals of this Chapter
    • 29.2 Background
    • 29.3 Exercises
    • 29.4 Project
    • MATLAB Functions, Commands, and Operators Covered in this Chapter

    Appendix A. Thinking in MATLAB

    • A.1 Alternatives to MATLAB
    • A.2 A Few Words about Precision

    Appendix B. Linear Algebra Review

    • B.1 Matrix Dimensions
    • B.2 Multiplication
    • B.3 Addition
    • B.4 Transpose
    • B.5 Geometrical Interpretation of Matrix Multiplication
    • B.6 Determinant
    • B.7 Inverse
    • B.8 Eigenvalues and Eigenvectors
    • B.9 Eigendecomposition of a Matrix

    Appendix C. Master Equation List

Product details

  • No. of pages: 400
  • Language: English
  • Copyright: © Academic Press 2008
  • Published: October 29, 2008
  • Imprint: Academic Press
  • eBook ISBN: 9780080923284

About the Authors

Pascal Wallisch

Pascal Wallisch
Pascal Wallisch received his PhD from the University of Chicago, did postdoctoral work at the Center for Neural Science at New York University, and currently serves as a clinical assistant professor of Psychology at New York University. His research interests are at the intersection of Psychology and Neuroscience, specifically Cognitive and Computational Neuroscience. His current work focuses on motion perception, autism and the appraisal of film.

Affiliations and Expertise

New York University, NY, USA

Michael Lusignan

Affiliations and Expertise

The University of Chicago, IL, USA

Marc Benayoun

Affiliations and Expertise

The University of Chicago, IL, USA

Tanya Baker

Affiliations and Expertise

The Salk Institute for Biological Studies, La Jolla, CA, USA

Adam Dickey

Affiliations and Expertise

The University of Chicago, IL, USA

Nicholas Hatsopoulos

Nicholas Hatsopoulos

Affiliations and Expertise

The University of Chicago, IL, USA

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