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Вернуться к Principles of fMRI 1

Отзывы учащихся о курсе Principles of fMRI 1 от партнера Университет Джонса Хопкинса

4.6
звезд
Оценки: 738
Рецензии: 149

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 design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s). A book related to the class can be found here: https://leanpub.com/principlesoffmri....

Лучшие рецензии

SM

29 авг. 2020 г.

It was a wonderful beginning to a topic details of which were unknown to me. Thank you to both the instructors for making the videos crisp, informative and understandable. Thank you very much.

JB

9 янв. 2019 г.

It is really easy going and interesting course. With good explanations that keep you on track easily. I really liked it since the begging and it gave me curiosity to undertake the second one

Фильтр по:

126–150 из 150 отзывов о курсе Principles of fMRI 1

автор: Daniel G

21 мар. 2018 г.

Solid introductory course on fMRI, but some kind of interactive assignments and discussions might be useful.

автор: Derrick L H

20 янв. 2022 г.

A concise introduction to the statistical procedures used to process fMRI data and make causal inferences.

автор: Diane A F C F

18 сент. 2021 г.

good information on the slides, but the instructors only reed the slides, not any additional information.

автор: Eduard V

14 окт. 2018 г.

it does not incorporate a lot fo background information and the information is too succinct

автор: Nicolas D D

15 апр. 2017 г.

It was a great course.However I expect more discussion in foro and the proffesors opinion

автор: wang l

25 дек. 2018 г.

need some fundamental knowledge in stats and then you will get more from this course

автор: Xaver F

26 мар. 2020 г.

High-quality information brought to the point. Instructors are a little stiff.

автор: Veronik S

26 сент. 2019 г.

A basic understanding is necessary, sometimes it is complicated to understand.

автор: Jerry M

2 мая 2018 г.

The phrasing of questions and answers in the quizzes are sometimes awkward.

автор: Rodrigo F G

5 мая 2017 г.

Great course! Though a bit of more examples through cases would be great.

автор: Elvina G

30 апр. 2020 г.

Very good and interesting course, although misses practical exercises.

автор: Zikou L

27 окт. 2020 г.

Maybe more examples to help understand and to remember the terms.

автор: JOEL B

13 мая 2020 г.

Thank you sir for sharing your valuable knowledge with us ...

автор: Tiago A

18 сент. 2017 г.

Very good material but questions not answered in the forums

автор: Allwyn .

2 сент. 2017 г.

Contents were very good and useful!

автор: Ying-Qiu Z

14 февр. 2016 г.

can add some detail, i.e. proofs

автор: José d J d L S H

14 авг. 2020 г.

Encantado de seguir aprendiendo

автор: Kanika B

6 мар. 2016 г.

Terrific learning experience!

автор: Diego S R

15 нояб. 2017 г.

excellent

автор: �ADITI P

22 авг. 2020 г.

good

автор: Gabriela M F

8 апр. 2018 г.

g

o

o

d

автор: Laine D

2 июля 2017 г.

Very stats based course if that is your focus. Could use some more real world examples in a few places. I would have liked more clinical application and physiology but perhaps that is included in part 2 of the course.

автор: Alonso S

2 авг. 2016 г.

Muy bueno, pero comparado con el curso de "a life od happiness and fulfillment" escasea en dinamismo.

автор: Tanya L P

12 нояб. 2017 г.

Good on theory, but less practical information than I expected

автор: juan m c

13 июня 2018 г.

good, for math