Principles of fMRI 2
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| Rating | 4.4★ based on 23 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | Johns Hopkins University, University of Colorado Boulder via Coursera |
| Instructors | Martin Lindquist, PhD, MSc, Tor Wager, Tor Wager, PhD |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science Data Science |
| Tags | Life Sciences Biology Data Science Data Analysis Health Informatics |
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What people are saying
martin which got complex
The only downside for me were the mathematical parts by Martin which got complex, messy and seemed to be explained not as clear as in previous course.
get into enough details
Pretty good lectures that touch on many aspects of fmri but doesn't really get into enough details to really learn about the difficulties with this methodology.
mental health professionals interested
Comprehensive, Informative & exciting course... highly recommended for Psychiatrists, or any mental health professionals interested in neuropsychiatry and neuroscience !
instructors knew about lots
I saw that the instructors knew about lots of cool things.
parts covering new methods
Still very good course with a lot to offer especially parts covering new methods.
informative & exciting
overall enjoyable experience
Overall enjoyable experience.
it helps
It helps me a lot.
some ecological
Some ecological, more experiment related examples could be useful to help understand mathematical operations and formulas.
sometimes hard
Sometimes hard to follow.
worth enrolling
Worth enrolling and purchasing.
advance material
I found this course enlightening and easily digestible, especially considering the advance material it discusses.
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| Rating | 4.4★ based on 23 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | Johns Hopkins University, University of Colorado Boulder via Coursera |
| Instructors | Martin Lindquist, PhD, MSc, Tor Wager, Tor Wager, PhD |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science Data Science |
| Tags | Life Sciences Biology Data Science Data Analysis Health Informatics |
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