Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s). A book related to the class can be found here: https://leanpub.com/principlesoffmri.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Neuroscience and Neuroimaging
von
Spezialisierung Neuroscience and NeuroimagingJohns Hopkins UniversityÃœber diesen Kurs
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Lehrplan - Was Sie in diesem Kurs lernen werden
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Bewertungen
- 5 stars71,93Â %
- 4 stars22,06Â %
- 3 stars4,56Â %
- 2 stars0,91Â %
- 1 star0,52Â %
Top-Bewertungen von PRINCIPLES OF FMRI 1
Great course, would be better if it incorporated labs/practical assignments to practice or apply the principles of fMRI onto actual datasets.
It was a wonderful beginning to a topic details of which were unknown to me. Thank you to both the instructors for making the videos crisp, informative and understandable. Thank you very much.
Very clear introductory course about fMRI. It touches almost every concept needed to understand an MRI experiment. Many complex topics were explained in a very clear and concise way.
A very good introduction, but you would need some decent knowledge in statistics to fully understand the methods part. Standard undergrad psychology courses in statistics should be enough.
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