MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB Hardcover – 6 Nov 2008
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“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 coursein 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
About the Author
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.
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For example, I was trying to complete the first project on my own and using only the commands covered in the previous chapters. I had to ask for help from friends and despite me telling them "I don't think I'm supposed to use that command because they haven't explained it yet" they still gave me other ways to write certain functions that weren't covered. Since I couldn't figure out how to integrate some of the previous material, I wrote the project program with commands that weren't covered by the book up to that point. It was pretty unsatisfying and discouraging. Not the book's fault that my friends didn't use what was taught, but it does lack some guidance for the projects.
My biggest complaint is that I can't find sample programs for the projects! I've checked the companion website and tried to buy the answer manual online, but you have to prove that you're a professor in order to buy it. Available answers would really help someone like me (who has ZERO intuition for programming) get started on projects and find more efficient ways of writing programs. It's not the advanced math or methods described that make this text hard to get through, which some reviewers are attributing to the bad reviews.
There are lots of comments that accompany the examples, a color insert, and a really helpful appendix that quickly reviews some matrix algebra. This seems like a good book for someone in neuroscience or psychology who already has some background in Matlab. But if you're just starting out, especially without any background in programming, this book will likely discourage you. Also, I could see how this book would be good for a beginning course because you've got a professor to guide you through the text. However, I'd recommend David Rosenbaum's "Matlab for Behavioral Scientists" for a beginning text if you're teaching yourself. After reading that book, I've looked back at this book and can understand everything much better.
Matlab for Neuroscientists does a good job of this. The authors have selected methods that are commonly used in computational neuroscience, emphasizing ones that tend to be difficult to implement. The result is a book that could save you a great deal of time if you analyze systems neuroscience data. The book is also quite instructive on its own; the computational principles are presented clearly, and unlike many Matlab books which simply describe procedures, this book explains how Matlab functions actually work. In other words, this book doesn't simply explain what to do, it teaches you how to use Matlab effectively.
Computational neuroscientists didn't invent math or engineering, so the topics covered in this book are pertinent to a variety applications; e.g. image processing and computer vision, various statistical applications, machine learning, and neural networks. As a result, people with a mathematical or engineering background could use Matlab and this book together to learn the basics of computational neuroscience quite efficiently.
and this is a good book. Kudos to the authors. I am really enjoying it.
BUT apparently the EBOOK DOES NOT COME WITH ACCESS TO THE COMPANION WEBSITE.
I hope that Amazon and Elsevier will make this clear in the future. Here is what Elsevier said when I inquired about how to get access to the companion site:
Thanks for your inquiry. To obtain online access customers must purchase the print + online access package.
I apologize for any confusion you may have experienced when purchasing this product from Amazon.com.
In most cases the Kindle version does not include any of the extra materials that accompany the hard bound versions of our books.
This includes access to web sites, CDs, or DVDs.
I'm sorry but our marketing department has made that decision for our titles, and in most cases has
lowered the Kindle price to reflect the absence of those materials. I'm sorry for the inconvenience.
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