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Opiniones y comentarios de aprendices correspondientes a Principles of fMRI 1 por parte de Universidad Johns Hopkins

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146 reseña

Acerca del Curso

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....

Principales reseñas

SM
29 de ago. de 2020

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 de ene. de 2019

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

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76 - 100 de 147 revisiones para Principles of fMRI 1

por Alon B

3 de may. de 2020

Was awesome, thanks!

por Eva L

11 de abr. de 2021

Awesome instructors

por arvee v

20 de oct. de 2020

Thank you very much

por Mel C M

29 de oct. de 2019

Very informative.

por Cibele E B

28 de ene. de 2018

Excellent course!

por 刘嘉威

9 de dic. de 2016

讲了很多算法,想知道是怎么分析的~

por hh h

2 de ago. de 2021

perfect course

por Wen X

26 de dic. de 2016

Great course!

por Vivek J

25 de ago. de 2017

Enjoyed alot

por Francisco F G C

13 de dic. de 2016

Great course

por Kim H

7 de ene. de 2021

Very useful

por rebecca h

14 de jun. de 2020

Excellent!

por Yanming Z

28 de mar. de 2017

Very great

por Pranay T

23 de dic. de 2018

very nice

por Renata X

31 de ene. de 2018

后面简直难死了……

por farzaneh d d

30 de jul. de 2016

بسیار خوب

por David S

18 de mar. de 2016

excelente

por CRISTIANO S P

21 de jul. de 2020

Perfect

por Ali O m

1 de nov. de 2020

thanks

por Sevda M

31 de oct. de 2020

THANKS

por Esat I

14 de feb. de 2019

thanks

por Surendra M

10 de mar. de 2016

Great.

por ANANDHU P R

8 de jul. de 2020

Good

por Sayan c

11 de jun. de 2017

b

por Sam W

28 de feb. de 2017

This is a great course to have available. However, I do think that in order to truly grasp many of the concepts, you need to either have a good baseline statistical background (ie, more than one college stats course), or be willing to spend a lot more time looking up many of the concepts (though many can only be found referenced in papers). For those who are engaged in applied statistics/signal processing, this would probably be fine. The course was very interesting, but I do wish they spent a bit more time breaking down the statistical measures and more examples/figures/analogies to make the course overall more coherent, and encourage a deeper understanding from a big picture perspective. It would be helpful if they had optional supplementary videos that dive deeper into the stats for those who could use it.