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Matlab for Neuroscientists: An Introduction to Scientific Computing in Matlab

Matlab for Neuroscientists: An Introduction to Scientific Computing in Matlab

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Authors: Pascal Wallisch, Michael Lusignan, Marc Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicho Hatsopoulos
Publisher: Academic Press
Category: Book

List Price: $79.95
Buy New: $59.79
You Save: $20.16 (25%)



New (14) Used (3) from $59.79

Rating: 5.0 out of 5 stars 2 reviews
Sales Rank: 282074

Media: Hardcover
Edition: 1
Pages: 400
Number Of Items: 1
Shipping Weight (lbs): 2
Dimensions (in): 9.3 x 7.4 x 0.9

ISBN: 0123745519
Dewey Decimal Number: 612.80285
EAN: 9780123745514
ASIN: 0123745519

Publication Date: November 3, 2008
Availability: Usually ships in 1-2 business days
Shipping: International shipping available
Condition: Brand new book delivered from the UK in 10-14 days.

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Editorial Reviews:

Product Description
Matlab is the accepted standard for scientific computing, used globally in virtually all Neuroscience and Cognitive Psychology laboratories. For instance, SPM, the most used software for the analysis and manipulation of fMRI images in research and clinical practice is fully programmed in matlab, and its use of the possibility to allow for sophisticated software modules to be freely added to the software has established it as the by far dominant software in the field. Many universities now offer, or are beginning to offer matlab introductory courses in their neuroscience and psychology programs. Nevertheless, so far there hasn't been a textbook specific to this market, and the use of the plethora of existing engineering focused Matlab textbooks is notoriously difficult for teaching the package in those environments.

This is the first comprehensive teaching resource and textbook for the teaching of Matlab in the Neurosciences and in Psychology. Matlab is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. As students advance in their research careers, they will have achieved the fluency required to understand and adapt more specialized tools as opposed to treating them as "black boxes".

Virtually all computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were collected in the labs of the authors, providing the casual student with the look and feel of real data. In some rare cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research.

The ability to effectively use computers in research is necessary in an academic environment that is increasingly focused on quantitative issues. Matlab represents an ideal language of scientific computing. It is based on powerful linear algebra structures which lend themselves to empirical problems on the one hand, while at the same time allowing the student to make rapid problem-oriented progress (particularly in terms of visualization of data points) without having to lose focus by worrying too much about memory allocation and other "plumbing" minutiae as would be required in other, more low-level programming languages such as C or C++.

Currently, there are several books that provide introductions to Matlab that are either too generic and fundamental or too irrelevant for neuroscientists and cognitive psychologists who typically face a very circumscribed range of problems in data collection, data analysis and signal processing. Some non-book tutorials and primers that are in use in the community are typically out of date. Matlab versions are usually not backwards compatible. Many commands and functions used in older tutorials and primers, such as "flops" won't work in current versions of Matlab, necessitating a book that is timely and up-to-date.

The complete lack of a relevant resource in this area, combined with a clearly felt need for such a text provided the primary and initial impetus for this project.

The authors provide such a dearly needed resource adapting and pooling materials that developed for and used in highly rated courses involving the use of Matlab in Neuroscience at the University of Chicago. Two co-authors (PW and NH) have presented their respective work on teaching Matlab at national meetings and two of the co-authors (PW and MB) were awarded the coveted University of Chicago's Booth Prize for excellence in teaching these courses. (http://chronicle.uchicago.edu/070524/boothprize.shtml ).

* The first comprehensive textbook on Matlab with a focus for its application in Neuroscience
* Problem based educational approach with many examples from neuroscience and cognitive psychology using real data
* Authors are award winning educators with strong teaching experience
* Instructor's Website with figurebank, additional problems and examples, solutions, etc



Customer Reviews:

5 out of 5 stars Outstanding   December 23, 2008
Neurofox
1 out of 2 found this review helpful

Long overdue... I wish this book had been available when I was a grad student. Might have saved me a lot of trouble. Very thorough, relatively comprehensive.

Being able to use actual data (available from the website) definitely helps to get a feel for common analysis methods in neuroscience.

All in all, it introduces a modern language of scientific computing (Matlab) to a modern field (Neuroscience) in a very "fitting" way. The end product is rather satisfactory. My only question is why no one wrote something like that earlier. Matlab has been around for a while.

I will recommend this book to all my students and friends.



5 out of 5 stars The basic textbook for computational neuroscience   December 14, 2008
G. A. Patino
1 out of 1 found this review helpful

I think this book should be the first reading of anybody wanting to learn about computational neuroscience that has no background knowledge of MATLAB. It is a great tool for experienced programmers too.

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