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 analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”.
Principles of fMRI 2
Principles of fMRI 2
This course is part of Neuroscience and Neuroimaging Specialization
Instructors: Martin Lindquist, PhD, MSc
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4.7
(239 reviews)
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
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Assessments
4 assignments
Taught in English
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This course is part of the Neuroscience and Neuroimaging Specialization
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There are 4 modules in this course
This week we will discuss psychological and behavioral inference, as well as advanced experimental design.
What's included
8 videos1 reading1 assignment
This week we will continue with advanced experimental design, and also discuss advanced GLM modeling.
What's included
11 videos1 assignment
This week we will focus on brain connectivity.
What's included
8 videos1 assignment
This week we will focus on multi-voxel pattern analysis.
What's included
10 videos1 assignment
Instructors
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4.5 (36 ratings)Offered by
Recommended if you're interested in Data Analysis
Yale University
Korea Advanced Institute of Science and Technology(KAIST)
Accenture
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