MATLAB for Neuroscientists

MATLAB for Neuroscientists, 2nd Edition

An Introduction to Scientific Computing in MATLAB

MATLAB for Neuroscientists, 2nd Edition,Pascal Wallisch,Michael Lusignan,Marc Benayoun,Tanya Baker,Adam Dickey,Nicholas Hatsopoulos,ISBN9780123838360

  &      &      &      &      &      

Academic Press




235 X 191

The only comprehensive software manual to serve as an introduction to programming in MATLAB, specifically tailored to neuroscientists and cognitive psychologists.

Print Book + eBook

USD 107.34
USD 178.90

Buy both together and save 40%

Print Book


In Stock

Estimated Delivery Time
USD 89.95

eBook Overview

VST (VitalSource Bookshelf) format

DRM-free included formats : EPUB, Mobi (for Kindle), PDF

USD 88.95
Add to Cart

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


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.


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

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

Affiliations and Expertise

The University of Chicago, IL, USA

MATLAB for Neuroscientists, 2nd Edition

Part I: Fundamentals
1. Introduction
2. MATLAB Tutorial
3. Mathematics and Statistics Tutorial
4. Programming Tutorial - Principles and Best Practices
5. Visualization and Documentation Tutorial
Part II: Data Collection with MATLAB
6. Collecting Reaction Times I: Visual Search and Pop Out
7. Collecting Reaction Times II: Attention
8. Psychophysics
9. Psychophysics with GUIs
10. Signal Detection Theory
Part III: Data Analysis with MATLAB
11. Frequency Analysis Part I: Fourier Decomposition
12. Frequency Analysis Part II: Nonstationary Signals and Spectrograms
13. Wavelets
14. Introduction to Phase Plane Analysis
15. Exploring the Fitzhugh-Nagumo Model
16. Convolution
17. Neural Data Analysis I: Encoding
18. Neural Data Analysis II: Binned Spike Data
19. Principal Components Analysis
20. Information Theory
21. Neural Decoding Part I: Discrete Variables
22. Neural Decoding Part II: Continuous Variables
23. Local Field Potentials
24. Functional Magnetic Imaging
Part IV: Data Modeling with MATLAB
25. Voltage-Gated Ion Channels
26. Synaptic Transmission
27. Modeling a Single Neuron
28. Models of the Retina
29. Simplified Model of Spiking Neurons
30. Fitzhugh-Nagumo Model: Traveling Waves
31. Decision Theory Lab
32. Markov Models
33. Modeling Spike Trains as a Poisson Process
34. Exploring the Wilson-Cowan Equations
35. Neural Networks as Forest Fires: Stochastic Neurodynamics
36. Neural Networks Lab I: Unsupervised Learning
37. Neural Networks Lab II: Supervised Learning
Appendix A: Creating Publication-Quality Figures
Appendix B: Relevant Toolboxes

Quotes and reviews

"...a handy resource for instructors of neuroscience, particularly those interested in more intense data analysis and/or neural modeling."

“The book is clear, cogent, and systematic. It provides much more than the essential nuts-and-bolts-it also leads the reader to learn to think about the empirical enterprise writ large…This book should be given a privileged spot on the bookshelf of every teacher, student, and researcher in the behavioral and cognitive sciences.” -Stephen M. Kosslyn, John Lindsley Professor of Psychology, Dean of Social Science, Harvard University, Cambridge, MA, USA

“This is an excellent book that should be on the desk of any neuroscientist or psychologist who wants to analyze and understand his or her own data by using MATLAB…Several books with MATLAB toolboxes exist; I find this one special both for its clarity and its focus on problems related to neuroscience and cognitive psychology.” -Nikos Logothetis, Director, Max Planck Institute for Biological Cybernetics, Tübingen, Germany

“MATLAB for Neuroscientists provides a unique and relatively comprehensive introduction to the MATLAB programming language in the context of brain sciences…The book would work well as a supplementary source for an introductory course in computational analysis and modeling in visual neuroscience, for graduate students or advanced undergraduates.” -Eero P. Simoncelli, Investigator, Howard Hughes Medical Institute; Professor, Neural Science, Mathematics, and Psychology, New York University, New York, USA

Free Shipping
Shop with Confidence

Free Shipping around the world
▪ Broad range of products
▪ 30 days return policy

Contact Us