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.
This course is part of the Neuroscience and Neuroimaging Specialization
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About this Course
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Try Coursera for BusinessSkills you will gain
- Image Processing
- Brain
- R Programming
- Neurology
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Syllabus - What you will learn from this course
Introduction
Neuroimaging: Formats and Visualization
Image Processing
Extended Image Processing
Reviews
- 5 stars71.17%
- 4 stars22.41%
- 3 stars4.27%
- 2 stars1.06%
- 1 star1.06%
TOP REVIEWS FROM INTRODUCTION TO NEUROHACKING IN R
It would have been better if there were practical exercises, nevertheless it was very comprehensive for basic procedures of fMRI analysis.
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.
Very Informative. I suggest all people who are seeking to gain knowledge about image processing should definitely check this out.
A nice introduction to neurohacking in R. I would recommend this course for beginners.
About the Neuroscience and Neuroimaging Specialization

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