An information-theoretic framework for conditional causality analysis of brain networks

Saved in:
Bibliographic Details
Main Author: Lipeng Ning
Format: Article
Language:English
Published: The MIT Press 2024-09-01
Series:Harvard Data Science Review
Online Access:http://dx.doi.org/10.1162/netn_a_00386
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850107626735534080
author Lipeng Ning
author_facet Lipeng Ning
author_sort Lipeng Ning
collection DOAJ
format Article
id doaj-art-d18607416dca4da2add6bf2f195ce996
institution OA Journals
issn 2644-2353
language English
publishDate 2024-09-01
publisher The MIT Press
record_format Article
series Harvard Data Science Review
spelling doaj-art-d18607416dca4da2add6bf2f195ce9962025-08-20T02:38:32ZengThe MIT PressHarvard Data Science Review2644-23532024-09-018310.1162/netn_a_00386An information-theoretic framework for conditional causality analysis of brain networksLipeng Ninghttp://dx.doi.org/10.1162/netn_a_00386
spellingShingle Lipeng Ning
An information-theoretic framework for conditional causality analysis of brain networks
Harvard Data Science Review
title An information-theoretic framework for conditional causality analysis of brain networks
title_full An information-theoretic framework for conditional causality analysis of brain networks
title_fullStr An information-theoretic framework for conditional causality analysis of brain networks
title_full_unstemmed An information-theoretic framework for conditional causality analysis of brain networks
title_short An information-theoretic framework for conditional causality analysis of brain networks
title_sort information theoretic framework for conditional causality analysis of brain networks
url http://dx.doi.org/10.1162/netn_a_00386
work_keys_str_mv AT lipengning aninformationtheoreticframeworkforconditionalcausalityanalysisofbrainnetworks
AT lipengning informationtheoreticframeworkforconditionalcausalityanalysisofbrainnetworks