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Johns Hopkins University

Principles of fMRI 2

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”.

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状态:Time Series Analysis and Forecasting
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JM

5.0评论日期:May 23, 2019

Very good course. Best week is the last week. Its does a good overview of fMRI Statistical analysis and design of experiments.

ZL

4.0评论日期:Nov 27, 2020

More illustration with cartoons would be much appreciated, words and text are kind of too abstract and hard to grab.

OC

4.0评论日期:Nov 16, 2016

The course was ery good, I wish it also included working with sample fmri data.

FC

5.0评论日期:Jun 8, 2017

Very interesting. I liked very much the last bit on MVPA.

IF

5.0评论日期:Jul 29, 2019

Excellent, thorough explanation of the computations and theory underlying fMRI analysis. I particularly enjoyed the emphasis on MVPA. Thanks!

FS

5.0评论日期:May 9, 2018

Comprehensive, Informative & exciting course... highly recommended for Psychiatrists, or any mental health professionals interested in neuropsychiatry and neuroscience !

JK

5.0评论日期:Feb 11, 2019

Great course and demonstration with real research examples.

AA

5.0评论日期:Nov 11, 2018

Similar to the first installment of the series. I found this course enlightening and easily digestible, especially considering the advance material it discusses. Overall enjoyable experience.

PM

5.0评论日期:Jan 15, 2019

Excellent courses, very useful. Worth enrolling and purchasing.

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