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.
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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.
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INTRODUCTION TO NEUROHACKING IN R의 최상위 리뷰
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.
A very useful and informative course. An organized, well prepared, and focused course. Thanks to the fabulous team. I learned a lot of stuff related to neuroimaging.
A nice introduction to neurohacking in R. I would recommend this course for beginners.
Perhaps links to some materials regarding explanation of the data could be provided.
Neuroscience and Neuroimaging 특화 과정 정보
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.
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