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.
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 stars70.95%
- 4 stars22.42%
- 3 stars4.41%
- 2 stars1.10%
- 1 star1.10%
來自INTRODUCTION TO NEUROHACKING IN R的熱門評論
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!
Thanks for the course. It was a nice course with good explanation. I enjoyed learning.
Great concise walk-through of neuro-imaging techniques. Low quality audio and a lot of background noise though.
Very Informative. I suggest all people who are seeking to gain knowledge about image processing should definitely check this out.
關於 Neuroscience and Neuroimaging 專項課程
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.