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Introduction to Neurohacking In R, Johns Hopkins University

4.6
160 Bewertungen
29 Bewertungen

Über diesen Kurs

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-Bewertungen

von BR

Feb 09, 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.

von SJ

May 08, 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.

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27 Bewertungen

von Sim Wei Khang, Jeremy

May 08, 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.

von Zaeem Hadi

Apr 10, 2019

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

von Jinyi Kuang

Dec 28, 2018

Great intro class. Recommended.

von Al-Rashid Jamalul

Apr 14, 2018

Great course. Learned quite a lot from the course. Only problem was the difficulty at first with the software and libraries stubbornly refusing to get setup. But, after realizing there was a VM provided with all intended software installed, everything was smooth sailing from there.

von Mehdi Nadji Tehrani

Apr 05, 2018

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

von Brion Josef

Mar 07, 2018

Student presenters are not as good as professors.

von ANSHAY AGARWAL

Feb 15, 2018

Should have more practical work

von Jonathan Golland

Feb 02, 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.

von Miriam Mota

Nov 21, 2017

fxhfg

von Tiago A.

Sep 15, 2017

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