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Scalable and Robust Tensor Decomposition of Spontaneous Stereotactic EEG Data

OBJECTIVE: Identification of networks from resting brain signals is an important step in understanding the dynamics of spontaneous brain activity. We approach this problem using a tensor-based model. METHODS: We develop a rank-recursive Scalable and Robust Sequential Canonical Polyadic Decomposition...

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Détails bibliographiques
Publié dans:IEEE Trans Biomed Eng
Auteurs principaux: Li, Jian, Haldar, Justin P., Mosher, John C., Nair, Dileep R., Gonzalez-Martinez, Jorge A., Leahy, Richard M.
Format: Artigo
Langue:Inglês
Publié: 2018
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6677658/
https://ncbi.nlm.nih.gov/pubmed/30307856
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2018.2875467
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