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Отзывы учащихся о курсе Principles of fMRI 2 от партнера Университет Джонса Хопкинса

4.7
звезд
Оценки: 170
Рецензии: 27

О курсе

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”....

Лучшие рецензии

AJ
11 нояб. 2018 г.

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
9 мая 2018 г.

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

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1–25 из 27 отзывов о курсе Principles of fMRI 2

автор: chekuri o s s v

17 нояб. 2016 г.

The course was ery good, I wish it also included working with sample fmri data.

автор: Richard K

3 янв. 2017 г.

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. Would be nice if they had some real data processing exercises to demonstrate someof the concepts.

автор: seyed s m z

6 авг. 2019 г.

Sometimes hard to follow.

автор: Jordan M

2 мая 2018 г.

Lot of information. Almost no useful instruction. I saw that the instructors knew about lots of cool things. I did not learn how to do any of those cool things.

автор: Getentey

31 мая 2020 г.

This is an excellent familiarization of the fMRI data analysis algorithm and a detailed extension course of fMRI-1. This course gives the insight of fMRI data processing related mathematics also. Hope, it will helpful for farther study.

автор: Hironaka I

8 авг. 2016 г.

Superb!

Easy to comprehend, good lecture.

I would recommend our students to take these lectures.

I would wish part3 focused on network analysis.

Thank you for providing us the clue to fMRI analysis.

Hironaka Igarashi

автор: Dadarkforce

12 нояб. 2018 г.

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.

автор: Feras A A H A S

10 мая 2018 г.

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

автор: Ian F

30 июля 2019 г.

Excellent, thorough explanation of the computations and theory underlying fMRI analysis. I particularly enjoyed the emphasis on MVPA. Thanks!

автор: 田云

10 июня 2018 г.

Just amazing! It helps me a lot. I will recommend it to everyone working with me in the college. And these two teachers are lovely! Thanks!

автор: Janzaib M

24 мая 2019 г.

Very good course. Best week is the last week. Its does a good overview of fMRI Statistical analysis and design of experiments.

автор: Pablo A

29 сент. 2016 г.

Thanks a lot, both curses were very interesting and will help a lot in future research!

автор: Peter M

15 янв. 2019 г.

Excellent courses, very useful. Worth enrolling and purchasing.

автор: Jinyi K

12 февр. 2019 г.

Great course and demonstration with real research examples.

автор: Francesco C

9 июня 2017 г.

Very interesting. I liked very much the last bit on MVPA.

автор: Cibele E B

1 февр. 2018 г.

You guys are amazing!! Excellent course!!

автор: Theodor R

2 сент. 2018 г.

Thank you again guys for your work!

автор: Yanlei W

23 июля 2017 г.

Very useful and interesting

автор: Baraka M

5 июня 2020 г.

It`s awesome

автор: Yacila I D A

4 янв. 2017 г.

Excellent!

автор: farzaneh d d

30 июля 2016 г.

بسیار خوب

автор: CRISTIANO S P

24 июля 2020 г.

Perfect

автор: Jan S

20 янв. 2017 г.

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.

автор: Anirban S

18 мая 2020 г.

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.