NobleBlocks
Public

Deep Hyperalignment

Published in arXiv (Cornell University) • Oct 11, 2017
Authors:
Muhammad Yousefnezhad
,
Daoqiang Zhang

Abstract

This paper proposes Deep Hyperalignment (DHA) as a regularized, deep extension, scalable Hyperalignment (HA) method, which is well-suited for applying functional alignment to fMRI datasets with nonlinearity, high-dimensionality (broad ROI), and a large number of subjects. Unlink previous methods, DH...

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!