DD
Nov 11, 2018
Similar to the first installment of the series. I found this course enlightening and easily digestible, especially considering the advance material it discusses. Overall enjoyable experience.
FS
May 9, 2018
Comprehensive, Informative & exciting course... highly recommended for Psychiatrists, or any mental health professionals interested in neuropsychiatry and neuroscience !
By Baraka M
•Jun 5, 2020
It`s awesome
By Yacila D
•Jan 4, 2017
Excellent!
By farzaneh d d
•Jul 30, 2016
بسیار خوب
By CRISTIANO S P
•Jul 24, 2020
Perfect
By Harley G
•Oct 24, 2022
I think this is a great course for an overview of fMRI in experimental studies. I love how the course makes fMRI analyses engaging and mostly digestable. The fact that they return to the same fMRI pipeline over multiple modules makes it really reinforce some of the central themes of conducting fMRI experiments. I find that Tor Wager gives great examples from real research studies. Though Martin Linquist is obviously a brilliant statistician, I think he often gets too technical and glosses over jargon too quickly. This makes it difficult to learn. I've had trouble sometimes keeping up with the material when certain jargon is not spelled out always. I was also hoping to see real fMRI data in some sort of programming software that might make it a bit more hands on. Though, this is a good introductory course if you are already familiar with statistics, and have read a handful of fMRI papers. It may be too technical to people who are completely new to fMRI. All in all, great work.
By Jan S
•Jan 20, 2017
Still very good course with a lot to offer especially parts covering new methods. 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. Some ecological, more experiment related examples could be useful to help understand mathematical operations and formulas.
By Anirban S
•May 18, 2020
The course assignments were bit easy and it would be good to provide more thought provoking exercises. The explanations by Dr. Tor Wager was unsatisfactory many a times. The course can be made practical oriented where the students get to implement the algorithms learnt. Overall the course was good in giving a broad overview of various topics.
By Zikou L
•Nov 28, 2020
More illustration with cartoons would be much appreciated, words and text are kind of too abstract and hard to grab.
By Siyuan G
•Aug 11, 2017
pretty great
By mohammad a m
•Dec 24, 2020
good course
By clara d
•Aug 16, 2021
wow