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Вернуться к Introduction to Neurohacking In R

Отзывы учащихся о курсе Introduction to Neurohacking In R от партнера Университет Джонса Хопкинса

Оценки: 272

О курсе

Neurohacking describes how to use the R programming language ( and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization. By the end of this course, you will be able to: Read/write images of the brain in the NIfTI (Neuroimaging Informatics Technology Initiative) format Visualize and explore these images Perform inhomogeneity correction, brain extraction, and image registration (within a subject and to a template)....

Лучшие рецензии


8 февр. 2017 г.

I like that this course goes through most necessary steps, my only suggest would be to have one additional week where you go through everything all together, and then do some simple group analysis.


7 мая 2019 г.

Thank you for the wonderful course. Especially useful when the team explains every new line of code. As a current undergraduate and aspiring neuroscience researcher, this is tremendously helpful.

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26–49 из 49 отзывов о курсе Introduction to Neurohacking In R

автор: Navchetan A

13 февр. 2017 г.

Good course for the basics of neurohacking.

автор: robbie m

3 сент. 2020 г.

Love the in depth explanations of the R!

автор: Jinyi K

28 дек. 2018 г.

Great intro class. Recommended.

автор: Malte G

2 мар. 2017 г.

Really good introduction.

автор: Anqi Z

10 нояб. 2020 г.

very hands on

автор: mohammed o

18 окт. 2016 г.

Really nice!

автор: Alexander J

13 окт. 2019 г.

thank you!

автор: Amar S

8 мая 2020 г.


автор: Fidel G

16 июля 2019 г.

It was a great experience going through the processes of ways of viewing, manipulating and extracting data from brain scan images. With few bumps on the way I keep focusing on the knowledge that I gain which I may apply into a future project of machine learn.

автор: Aleksandr S

27 мар. 2020 г.

Great course! Just please delete the 10-second introduction before each video. It makes the most horrible sound. Other than that, amazing course

автор: Mehdi N T

5 апр. 2018 г.

Great concise walk-through of neuro-imaging techniques. Low quality audio and a lot of background noise though.

автор: Srihari S

21 авг. 2017 г.

Perhaps links to some materials regarding explanation of the data could be provided.

автор: Brion J

7 мар. 2018 г.

Student presenters are not as good as professors.

автор: Salvador G

18 мая 2017 г.

It was a really good course, thank you!

автор: Aman M

5 мар. 2017 г.

All the lecture were thorough and good.

автор: ANSHAY A

15 февр. 2018 г.

Should have more practical work

автор: 向振亞

31 июля 2022 г.


автор: Miriam M

21 нояб. 2017 г.


автор: Tiago A

15 сент. 2017 г.

Nice contents but: questions not being answered in the forums. Online content from github (where in fact are the scripts and data) is somewhat confusing

автор: Byurakn I

25 июня 2021 г.

While a really important course, it would work much better with some hands-on exercises.

автор: KJ B

3 авг. 2017 г.

Very basic, could be clearer.

автор: Andres V T

30 нояб. 2020 г.

It was ok.

автор: Jonathan G

2 февр. 2018 г.

this course was misleading and boring as hell! You're supposed to learn the function of an MRI and what diseases to look for that would've been a more relevant course. It just talked about different computer systems and how an MRI functions.

автор: Zaeem H

10 апр. 2019 г.

I was expecting teaching but they are simply reading code from slides. Big let down.