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.
Este curso forma parte de Programa especializado: Neuroscience and Neuroimaging
Ofrecido Por
Programa especializado: Neuroscience and NeuroimagingUniversidad Johns HopkinsAcerca de este Curso
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Prueba Coursera para negociosHabilidades que obtendrás
- Statistics
- Statistical Analysis
- Statistical Model
- Preprocessor
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Prueba Coursera para negocios
Ofrecido por
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Reseñas
- 5 stars72,27 %
- 4 stars21,82 %
- 3 stars4,49 %
- 2 stars0,89 %
- 1 star0,51 %
Principales reseñas sobre PRINCIPLES OF FMRI 1
It's not really a beginners course. Reviews most of the important fMRI statistical analysis concepts. Additionally, the information regarding MR Physics involved was invaluable.
Amazing course. More advanced than I thought it would be, which was excellent. Interested students should know that it has a lot of statistics in it.
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.
Great free resource for beginning fmri researcher. However, you will need a lot more extra study/resources to understand the topics.
Acerca de Programa especializado: Neuroscience and Neuroimaging
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