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.
About this Course
Learner Career Outcomes
Learner Career Outcomes
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
TOP REVIEWS FROM INTRODUCTION TO NEUROHACKING IN R
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.
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.
The process of downloading packages on the virtual machine was very tiring. The documentation of it could have been provided more nicely. Like I was not aware about the 'sudo...'on LINUX.
Perfect! Precise to the subject and provides a lot of hands-on details, which is, unfortunately, something that most other similar courses don't do. Absolutely loved it!
About the Neuroscience and Neuroimaging Specialization
This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience. Taught by Johns Hopkins University, it begins with fundamental neuroscience concepts for neuroimaging. Neuroimaging methods are used with increasing frequency in clinical practice and basic research. Starting with the neuroanatomy of the brain, it then moves into principles of neuroimaging, including experimental design in neuroimaging, functional connectivity MRI, diffusion tensor imaging and spectroscopy imaging.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
More questions? Visit the Learner Help Center.