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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

AJ

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.

FS

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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1 - 25 de 35 revisiones para Principles of fMRI 2

por Jordan M

2 de may. de 2018

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.

por Ian F

30 de jul. de 2019

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

por Omkar C

17 de nov. de 2016

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

por Richard K

3 de ene. de 2017

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.

por Brandy R

18 de feb. de 2017

Disappointed that it's all theory and no application. I know there are a ton of differeint fMRI processing pipelines, but even just to walk through one would be much more useful.

por seyed s m z

6 de ago. de 2019

Sometimes hard to follow.

por Dr. B S K

26 de jul. de 2021

Way too much advanced statistics. This course is meant for those who have a PhD in statistics.

por Khoa M

26 de sep. de 2021

Thank you Professors Tor Wager and Martin Lindquist for the past 2 courses. This part 2 is definitely more challenging for someone with little Data Science background like me. I definitely have to take up more data science courses to appreciate the content here. Nevertheless, I'm excited for the last course of the series.

por Getentey

31 de may. de 2020

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.

por Hironaka I

8 de ago. de 2016

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

por Dadarkforce

12 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.

por Feras A A H A S

10 de may. de 2018

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

por 田云

10 de jun. de 2018

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!

por Janzaib M

24 de may. de 2019

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

por May w

1 de nov. de 2022

A really detailed explanation of fmri data analysis. But if there are more exercises, it will be even better!

por Pablo A

29 de sep. de 2016

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

por Peter M

15 de ene. de 2019

Excellent courses, very useful. Worth enrolling and purchasing.

por Jinyi K

12 de feb. de 2019

Great course and demonstration with real research examples.

por Francesco C

9 de jun. de 2017

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

por Cibele B

1 de feb. de 2018

You guys are amazing!! Excellent course!!

por Theodor R

2 de sep. de 2018

Thank you again guys for your work!

por Yanlei W

23 de jul. de 2017

Very useful and interesting

por Musa Y

28 de mar. de 2021

very god ,thanks

por Baraka M

5 de jun. de 2020

It`s awesome