9780123838360-0123838363-MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB

MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB

ISBN-13: 9780123838360
ISBN-10: 0123838363
Edition: 2
Author: Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. Hatsopoulos
Publication date: 2013
Publisher: Academic Press
Format: Hardcover 570 pages
Category: Computers
FREE shipping on ALL orders

Book details

ISBN-13: 9780123838360
ISBN-10: 0123838363
Edition: 2
Author: Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. Hatsopoulos
Publication date: 2013
Publisher: Academic Press
Format: Hardcover 570 pages
Category: Computers

Summary

Acknowledged authors Pascal Wallisch , Michael E. Lusignan , Marc D. Benayoun , Tanya I. Baker , Adam Seth Dickey , Nicholas G. Hatsopoulos wrote MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB comprising 570 pages back in 2013. Textbook and eTextbook are published under ISBN 0123838363 and 9780123838360. Since then MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB textbook was available to sell back to BooksRun online for the top buyback price of $ 1.61 or rent at the marketplace.

Description

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.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book