Introduction to Neurohacking In R
By Coursera
on Coursera
· Data Science
About This 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).
Instructor
Dr. Elizabeth Sweeney
Frequently Asked Questions
How much does Introduction to Neurohacking In R cost?
Visit the Introduction to Neurohacking In R course page for current pricing and available discounts.
Who teaches Introduction to Neurohacking In R?
Introduction to Neurohacking In R is taught by Dr. Elizabeth Sweeney , Johns Hopkins University.
What skill level is Introduction to Neurohacking In R for?
This course is designed for beginner learners.