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MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB Hardcover – 27 Nov 2013

3.0 out of 5 stars 1 customer review

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Product details

  • Hardcover: 570 pages
  • Publisher: Academic Press; 2 edition (27 Nov. 2013)
  • Language: English
  • ISBN-10: 0123838363
  • ISBN-13: 978-0123838360
  • Product Dimensions: 19.2 x 3 x 24.3 cm
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 530,359 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description


"...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

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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Top Customer Reviews

Format: Hardcover Verified Purchase
I bought this on the understanding that the companion website had solutions to the exercises in the book. So far, despite correspondence with Elsevier, I've not been able to access any solutions to the exercises - I don't think that there are any for the early chapters. At first I was disappointed but having persisted I am progressing in my learning of MATLAB but I don't think this is the most accessible of texts, but then having said that I've never done any programming before. Probably a great book for those with basic knowledge of MATLAB who want to delve into it more. I do think that when a book promises solutions to the exercises that should include the early chapters.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: HASH(0x9d3eb498) out of 5 stars 3 reviews
15 of 17 people found the following review helpful
HASH(0x9cd1ac24) out of 5 stars Excellent reference and learning tool 21 Jan. 2014
By Grapeape - Published on Amazon.com
Format: Hardcover
The title sounds very authoritative, giving the impression that this is THE book for any neuroscientist who uses MATLAB. I was happy to discover that, this time, the text lives-up to the expectation. Okay, so I was not thrilled about the first edition. I found it a bit abstruse as an instructional tool and too limited for experienced MATLAB users. In this second edition the authors reach out in both directions, devoting the first 150 pages to introduction and tutorials and then broadening the scope of the sections on data collection, analysis, and simulation. The chapters are well organized, succinct, and cover an impressive range of topics, making it a valuable reference even for the experienced programmer, who may otherwise spend too much time picking-apart and reconstructing poorly-written methods sections from primary research articles. Of course the book is not comprehensive (it's a book, not a Wikipedia). Also, not every section takes-on the burden of holding the reader's hand in implementing a method from start to finish--although doing so may be a mistake, by providing recipes that are not always perfectly suited for the reader's problem. In general, the book makes an excellent laboratory resource, even more so because it can be purchased as a DRM-free ebook (I bought mine as a PDF, which has made it very easy to store and access alongside other methods-related materials on my hard drive).
HASH(0x9cd1ac84) out of 5 stars Great book but its software repository needs a good reorg. 3 Mar. 2016
By Miguel Camarena Sainz - Published on Amazon.com
Format: Hardcover Verified Purchase
Excelente review of basic techniques needed forma neuroscience research. The focus on doing exercises for each of the techniques makes the learning process more manageable.

However its software repository is ill-organized and you may need have to go through each chapter zip file in the book website to find the appropiate code. If the authors improve this, they can make this a more efficient learning experience.
0 of 17 people found the following review helpful
HASH(0x9d86ffa8) out of 5 stars you can get a better introduction just by googling 7 Mar. 2015
By Ivy - Published on Amazon.com
Format: Hardcover Verified Purchase
you can get a better introduction just by googling, this book was a waste of money for me. also why not choose examples related to neuroscience instead of the ones assuming all terrorists are bearded?
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