Chevron Left
Back to Introduction to Neurohacking In R

Learner Reviews & Feedback for Introduction to Neurohacking In R by Johns Hopkins University

4.6
stars
304 ratings

About the Course

Neurohacking describes how to use the R programming language (https://cran.r-project.org/) 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)....

Top reviews

BR

Feb 8, 2017

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.

JS

May 7, 2019

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.

Filter by:

51 - 56 of 56 Reviews for Introduction to Neurohacking In R

By ANSHAY A

Feb 15, 2018

Should have more practical work

By 向振亞

Jul 31, 2022

很棒的課程了解R如何被運用在影像分析上,R們想得更寬廣

By Miriam M

Nov 21, 2017

fxhfg

By KJ B

Aug 3, 2017

Very basic, could be clearer.

By AVaTos

Nov 30, 2020

It was ok.

By Jonathan G

Feb 2, 2018

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.