Providing context: Extracting non-linear and dynamic temporal motifs from brain activity.
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| Title: | Providing context: Extracting non-linear and dynamic temporal motifs from brain activity. |
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| Authors: | Geenjaar E; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, Georgia, United States of America., Kim D; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, Georgia, United States of America., Calhoun V; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, Georgia, United States of America. |
| Source: | PloS one [PLoS One] 2025 Jun 12; Vol. 20 (6), pp. e0324066. Date of Electronic Publication: 2025 Jun 12 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0324066 |
