MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB
Wallisch PhD, Pascal; Lusignan, Michael E.; Benayoun, Marc D.; Baker, Tanya I.; Dickey, Adam Seth; Hatsopoulos, Nicholas G.
Language: English
Published by Academic Press, 2008
- Hardcover
- New

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- Title
- MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB
- Author
- Wallisch PhD, Pascal; Lusignan, Michael E.; Benayoun, Marc D.; Baker, Tanya I.; Dickey, Adam Seth; Hatsopoulos, Nicholas G.
- Publisher
- Academic Press
- Publication year
- 2008
- Condition
- new
- Binding
- hardcover
- Language
- English
- ISBN 10
- 0123745519
- ISBN 13
- 9780123745514
MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB 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 cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research.
- 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
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