Material Detail

Enhancing functional magnetic resonance imaging with supervised learning

This video was recorded at NIPS Workshop on New Directions on Decoding Mental States from fMRI Data, Whistler 2006. This paper reports novel applications of supervised learning methods intended to directly impact fMRI technology with the aim of improving data acquisition and analysis.

Keywords:: videolectures, ocwc, oec

Disciplines:

Science and Technology / Computer Science

Go to Material

Bookmark / Add to Course ePortfolio

Create a Learning Exercise

Add Accessibility Information

Rate

Add a Comment

Quality

User Rating
Comments
Learning Exercises
Bookmark Collections
Course ePortfolios
Accessibility Info

Report Broken Link
Report as Inappropriate

More about this material

Material Type:: Presentation
Date Added to MERLOT:: February 8, 2015
Date Modified in MERLOT:: February 8, 2015
Author:: Stephen LaConte, Biomedical Imaging Technology Center, Georgia Institute of Technology
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed, College Lower Division, College Upper Division
Technical Format:: Video

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Accessibility Information Available:: Unknown
Creative Commons:: This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States