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 faz parte do Programa de cursos integrados Neuroscience and Neuroimaging
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Programa de cursos integrados Neuroscience and NeuroimagingUniversidade Johns HopkinsInformações sobre o curso
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Experimente o Coursera for BusinessHabilidades que você terá
- Statistics
- Statistical Analysis
- Statistical Model
- Preprocessor
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Avaliações
- 5 stars72,29%
- 4 stars21,77%
- 3 stars4,51%
- 2 stars0,90%
- 1 star0,51%
Principais avaliações do PRINCÍPIOS DO FMRI 1
Great course, would be better if it incorporated labs/practical assignments to practice or apply the principles of fMRI onto actual datasets.
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.
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.
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.
Sobre Programa de cursos integrados Neuroscience and Neuroimaging
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