@inproceedings{f5bd5910b3934bf18694cdfb704d2469,
title = "Hierarchical topographic factor analysis",
abstract = "Recent work has revealed that cognitive processes are often reflected in patterns of functional connectivity throughout the brain (for review see [16]). However, examining functional connectivity patterns using traditional methods carries a substantial computational burden (of computing time and memory). Here we present a technique, termed Hierarchical topographic factor analysis, for efficiently discovering brain networks in large multi-subject neuroimaging datasets.",
author = "Manning, {Jeremy R.} and Rajesh Ranganath and Waitsang Keung and Turk-Browne, {Nicholas B.} and Cohen, {Jonathan D.} and Norman, {Kenneth A.} and Blei, {David M.}",
year = "2014",
doi = "10.1109/PRNI.2014.6858530",
language = "English (US)",
isbn = "9781479941506",
series = "Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014",
publisher = "IEEE Computer Society",
booktitle = "Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014",
address = "United States",
note = "4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 ; Conference date: 04-06-2014 Through 06-06-2014",
}