
Statistical Analysis of fMRI Data
$128.31
- Hardcover
568 pages
- Release Date
17 September 2019
Summary
A guide to all aspects of experimental design and data analysis for fMRI experiments, completely revised and updated for the second edition.Functional magnetic resonance imaging (fMRI), which allows researchers to observe neural activity in the human brain noninvasively, has revolutionized the scientific study of the mind. An fMRI experiment produces massive amounts of highly complex data for researchers to analyze. This book describes all aspects of experimental design and data analysis for …
Book Details
| ISBN-13: | 9780262042680 |
|---|---|
| ISBN-10: | 0262042681 |
| Author: | F. Gregory Ashby |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 568 |
| Release Date: | 17 September 2019 |
| Weight: | 1.05kg |
| Dimensions: | 229mm x 178mm x 30mm |
| Series: | The MIT Press |
What They're Saying
Critics Review
“This book covers all major fMRI analyses with a level of mathematical depth that is appropriate for cognitive and brain scientists with some background in statistics. The author has the rare ability of explaining complex issues using intuitive and engaging prose. The perfect balance between conceptual intelligibility and mathematical rigor makes this an ideal textbook for undergraduate and graduate courses.”–Roberto Cabeza, Professor of Psychology and Neuroscience, Duke University
“Understanding the complexities associated with the generation of brain function images is essential, but this information is often difficult to obtain. This lovely new book by Ashby is a major step in meeting that need. I recommend it with enthusiasm to new initiates to imaging as well as seasoned veterans.”–Marcus Raichle, Professor of Radiology, Neurology, Neurobiology, and Biomedical Engineering at Washington University in St Louis
About The Author
F. Gregory Ashby
F. Gregory Ashby is Distinguished Professor in the Department of Psychological and Brain Sciences at the University of California, Santa Barbara.
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