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Opiniones y comentarios de aprendices correspondientes a Principles of fMRI 2 por parte de Universidad Johns Hopkins

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Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”....

Principales reseñas


11 de nov. de 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.


9 de may. de 2018

Comprehensive, Informative & exciting course... highly recommended for Psychiatrists, or any mental health professionals interested in neuropsychiatry and neuroscience !

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26 - 33 de 33 revisiones para Principles of fMRI 2

por farzaneh d d

30 de jul. de 2016

بسیار خوب


24 de jul. de 2020


por Jan S

20 de ene. de 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.

por Anirban S

18 de may. de 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.

por Zikou L

28 de nov. de 2020

More illustration with cartoons would be much appreciated, words and text are kind of too abstract and hard to grab.

por Siyuan G

11 de ago. de 2017

pretty great

por mohammad a m

24 de dic. de 2020

good course

por clara d

16 de ago. de 2021