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MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addressed in a single programming environment.

This updated edition features additional material on the creation of visual stimuli, advanced psychophysics, analysis of LFP data, choice probabilities, synchrony, and advanced spectral analysis. Users at a variety of levels-advanced undergraduates, beginning graduate students, and researchers looking to modernize their skills-will learn to design and implement their own analytical tools, and gain the fluency required to meet the computational needs of neuroscience practitioners.

Key Features
The first complete volume on MATLAB focusing on neuroscience and psychology applications
Problem-based approach with many examples from neuroscience and cognitive psychology using real data
Illustrated in full color throughout
Careful tutorial approach, by authors who 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
Preface to the Second Edition

Preface to the First Edition

About the Authors

How to Use this Book

Structural and Conceptual Considerations

Layout and Style

Companion Web Site

Part I: Fundamentals

Chapter 1. Introduction

Chapter 2. MATLAB Tutorial

2.1 Goal of this Chapter

2.2 Purpose and Philosophy of MATLAB

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. Mathematics and Statistics Tutorial

3.1 Introduction

3.2 Linear Algebra

3.3 Probability and Statistics

MATLAB Functions, Commands, and Operators Covered in This Chapter

Chapter 4. Programming Tutorial: Principles and Best Practices

4.1 Goals of this Chapter

4.2 Organizing Code

4.3 Organizing More Code: Bigger Projects

4.4 Taming Errors

MATLAB Functions, Commands, and Operators Covered in This Chapter

Chapter 5. Visualization and Documentation Tutorial

5.1 Goals of This Chapter

5.2 Visualization

5.3 Documentation

MATLAB Functions, Commands, and Operators Covered in This Chapter

Part II: Data Collection with MATLAB

Chapter 6. Collecting Reaction Times I: Visual Search and Pop Out

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. Collecting Reaction Times II: Attention

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. Psychophysics

8.1 Goals of this Chapter

8.2 Background

8.3 Exercises

8.4 Project

MATLAB Functions, Commands, and Operators Covered in this Chapter

Chapter 9. Psychophysics with GUIs

Abstract

9.1 Goals of This Chapter

9.2 Introduction and Background

9.3 GUI Basics

9.4 Using a GUI to Track an IP Address

9.5 Using a GUI for Psychophysics

9.6 Project

MATLAB Functions, Commands, and Operators Covered in This Chapter

Chapter 10. Signal Detection Theory

10.1 Goals of This Chapter

10.2 Background

10.3 Exercises

10.4 Project

MATLAB Functions, Commands, and Operators Covered in This Chapter

Part III: Data Analysis with MATLAB

Chapter 11. Frequency Analysis Part I: Fourier Decomposition

11.1 Goals of this Chapter

11.2 Background

11.3 Exercises

11.4 Project

MATLAB Functions, Commands, and Operators Covered in this Chapter

Chapter 12. Frequency Analysis Part II: Nonstationary Signals and Spectrograms

12.1 Goal of this Chapter

12.2 Background

12.3 Exercises

12.4 Project

MATLAB Functions, Commands, and Operators Covered in this Chapter

Chapter 13. Wavelets

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. Introduction to Phase Plane Analysis

14.1 Goal of this Chapter

14.2 Background

14.3 Exercises

14.4 Project

MATLAB Functions, Commands, and Operators Covered in this Chapter

Chapter 15. Exploring the Fitzhugh-Nagumo Model

15.1 Goal of this Chapter

15.2 Background

15.3 Exercises

15.4 Project

MATLAB Functions, Commands, and Operators Covered in this Chapter

Chapter 16. Convolution

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 Data Analysis I: Encoding

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. Neural Data Analysis II: Binned Spike Data

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. Principal Components Analysis

19.1 Goals of this Chapter

19.2 Background

19.3 Exercises

19.4 Project

MATLAB Functions, Commands, and Operators Covered in this Chapter

Chapter 20. Information Theory

20.1 Goals of this Chapter

20.2 Background

20.3 Exercises

20.4 Project

MATLAB Functions, Commands, and Operators Covered in This Chapter

Chapter 21. Neural Decoding I: Discrete Variables

21.1 Goals of this Chapter

21.2 Background

21.3 Exercises

21.4 Project

MATLAB Functions, Commands, and Operators Covered in this Chapter

Chapter 22. Neural Decoding II: Continuous Variables

22.1 Goals of This Chapter

22.2 Background

22.3 Exercises

22.4 Project

MATLAB Functions, Commands, and Operators Covered in This Chapter

Chapter 23. Local Field Potentials

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. Functional Magnetic Resonance Imaging

24.1 Goals of This Chapter

24.2 Background

24.3 Exercises

24.4 Project

MATLAB Functions, Commands, and Operators Covered in This Chapter

Part IV: Data Modeling with MATLAB

Chapter 25. Voltage-Gated Ion Channels

25.1 Goal of This Chapter

25.2 Background

25.3 Exercises

25.4 Project

Matlab Functions, Commands, and Operators Covered in This Ch