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.
Introduction to Neurohacking In R
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Introduction to Neurohacking In R
This course is part of Neuroscience and Neuroimaging Specialization
Instructors: Dr. Elizabeth Sweeney
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315 reviews
Intermediate level
Some related experience required
Flexible schedule
2 weeks at 10 hours a week
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26 assignments
Taught in English
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This course is part of the Neuroscience and Neuroimaging Specialization
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Showing 3 of 315
LD
Reviewed on Oct 7, 2019
A nice introduction to neurohacking in R. I would recommend this course for beginners.
OA
Reviewed on Jan 28, 2025
It was wonderful learning from these amazing Lecturers
JS
Reviewed on 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.
