Journal
GIGASCIENCE
Volume 3, Issue -, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1186/2047-217X-3-28
Keywords
Machine learning; Neuroimaging; Cognition; fMRI; Decoding; Encoding
Categories
Ask authors/readers for more resources
Functional brain images are rich and noisy data that can capture indirect signatures of neural activity underlying cognition in a given experimental setting. Can data mining leverage them to build models of cognition? Only if it is applied to well-posed questions, crafted to reveal cognitive mechanisms. Here we review how predictive models have been used on neuroimaging data to ask new questions, i.e., to uncover new aspects of cognitive organization. We also give a statistical learning perspective on these progresses and on the remaining gaping holes.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available