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MATLAB for Behavioral Scientists, Second Edition, by David A. Rosenbaum, Jonathan Vaughan, Brad Wyble
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Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book’s program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound.
Highlights of the new edition include:
•Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions.
•More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly.
•A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research.
•A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication.
•Increased emphasis on pre-allocation of memory, recursion, handles, and matrix algebra operators.
The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox.
Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.
- Sales Rank: #110405 in Books
- Published on: 2014-07-10
- Released on: 2014-07-03
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x .91" w x 7.00" l, .0 pounds
- Binding: Paperback
- 400 pages
Review
"Finally, a definitive MATLAB textbook! The coverage of MATLAB programming is both broad and deep. This is the book that can help a motivated reader develop from a MATLAB beginner to a pro." – Hongjing Lu, University of California Los Angeles, USA
"Even without previous programming experience, students in behavioral sciences will find this book to be an accessible way to learn MATLAB because it is well-organized and has many examples, problems, and figures." – Russell M. Church, Brown University, USA
"This book has become a standard reference for our students in experimental psychology. The additional chapters in this second edition are especially useful for those who want to program experiments in cognitive psychology and psychophysics." – Rolf Ulrich, University of Tuebingen, Germany
"I have no hesitation in recommending the second edition of this excellent text on MATLAB for advanced students in experimental and cognitive psychology which will also serve as useful supplementary material for research methods and computational modeling courses." – Alan M. Wing, University of Birmingham, UK
"The book ... covers exactly the material I’d want to be covered for an undergraduate or postgraduate student. ... The level of writing is spot on for the intended audience. …The structure of the code + output examples is very effective in communicating the role and effect of the covered functions and operations. ... The book serves a …valuable role in guiding MATLAB novices. …I can give [the book] to a new PhD student, post-doc, or RA, and they will quickly get up to speed with using MATLAB with little input required from me."– Simon Farrell, University of Bristol, UK
"A book of this content and profile is sorely needed. …Other books are not so easily accessible to non-programmers. …This book fills a void in that it brings in people to programming who never thought they would be able to program. That is a HUGE accomplishment. …I already recommended the book to several … graduate students and … they started learning and using MATLAB right away! …All changes are positive, and enrich the book immensely. …I welcome the new chapters, especially about GUIs and hardware-software connectivity." – Alen Hajnal, the University of Southern Mississippi, USA
About the Author
David A. Rosenbaum is Distinguished Professor of Psychology at Pennsylvania State University.
Jonathan Vaughan is the James L. Ferguson Professor of Psychology and Neuroscience at Hamilton College.
Brad Wyble is Assistant Professor of Psychology at Pennsylvania State University.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Good place to start
By Amirvala Tavakoli
Professor Rosenbaum writes with humor, clarity and intelligence.
0 of 0 people found the following review helpful.
Five Stars
By Zach LaRue
Very helpful book for a beginner in MATLAB.
0 of 0 people found the following review helpful.
A solid starter book. If you know how to program already, this will not help you as much.
By Joey Joe Joe Jr. Shabadoo
If you've never programmed before, you have access to the MATLAB computing environment, and you are willing to really work and tinker at programming, this is an excellent book. It starts you from the very first lesson and walks you through the beginnings of MATLAB. I'm biased, as I took the course as Dr. Rosenbaum taught it many years ago, but I'm thoroughly confident that his course and this book are the reason I have a job today. Keep in mind that you're not going to learn everything you need from this book. In fact, the main thing you'll learn are how to ask the right questions of your preferred search engine or online forum! As we might expect, though, from the literature on problem-solving, sometimes being able to define and mentally represent the problem itself is one of the biggest steps in solving the problem. That's what this book gets you -- a way to define and mentally represent the problems you'll be trying to solve as a programmer.
MATLAB is a powerful tool for any scientist, and provided you will have access to the MATLAB computing environment, you will be well-served to familiarize yourself with MATLAB. That way when you find yourself thinking, "I don't want to manually tabulate this column" or "if only there were a way to do these data transformation tasks automatically and quickly without involving a spreadsheet program..." -- you'll have another tool in your toolkit!
Now, just a quick rundown of who this book is for: if you already know how to program, you might find this book a little irritatingly basic, or you might find that it doesn't tell you the differences between MATLAB and other languages (at least, not in a way that helps you much). When Rosenbaum says that this is for "Behavioral Scientists," it's sort of a shorthand to refer to total or near-total novices in programming, and the examples you'll see are generally psychology-oriented so that might help the novice from the behavioral sciences to better grasp the lessons.
If you're in grad school for psych or another experimental behavioral science, you should learn MATLAB -- this book might help.
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