Principles of fMRI 1

Principles of fMRI 1

Course
en
English
16 h
This content is rated 4.5 out of 5
Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 4 Sequences
  • Introductive Level

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Course details

Syllabus

  • fMRI Basics
  • Acquisition and Reconstruction
  • Physiology, signal, and noise
  • Experimental Design
  • Preprocessing
  • Statistical analysis: The General Linear Model
  • Group analysis and inference
  • Multiple comparisons

Prerequisite

None.

Instructors

Martin Lindquist, PhD, MSc
Professor, Biostatistics
Bloomberg School of Public Health | Johns Hopkins University

Tor Wager
PhD
Department of Psychology and Neuroscience, The Institute of Cognitive Science | University of Colorado at Boulder

Editor

Johns Hopkins University (JHU) is a private American university located in Baltimore, Maryland. It also has campuses in Washington, D.C. Bologna, Italy, Singapore and Nanjing, China. It owes its name to Johns Hopkins, a wealthy entrepreneur who bequeathed 7 million dollars to the university on his death.

One of the most prestigious universities in the United States (especially for its faculties of medicine and public health, as well as its school of international affairs), the institution defines itself as the country's leading "research university". At the beginning of its history, it was mainly inspired by the University of Heidelberg and the German educational model of Wilhelm von Humboldt. In 2019, 39 Nobel Prize winners have their names associated with the university.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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