Model-based stationarity filtering of long-term memory data applied to resting-state blood-oxygen-level-dependent signal | Zendy

Ishita Rai Bansal | Zendy; Arian Ashourvan | Zendy; Maxwell A. Bertolero | Zendy; Danielle S. Bassett | Zendy; Sérgio Pequito | Zendy

Open Access

Model-based stationarity filtering of long-term memory data applied to resting-state blood-oxygen-level-dependent signal

Author(s) -

Ishita Rai Bansal,

Arian Ashourvan,

Maxwell A. Bertolero,

Danielle S. Bassett,

Sérgio Pequito

Publication year - 2022

Publication title -

plos one

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.99

H-Index - 332

ISSN - 1932-6203

DOI - 10.1371/journal.pone.0268752

Subject(s) - communication noise , computer science , noise (video) , human connectome project , functional magnetic resonance imaging , filter (signal processing) , signal (programming language) , artificial intelligence , resting state fmri , blood oxygen level dependent , signal processing , pattern recognition (psychology) , spectral density , ground truth , functional connectivity , computer vision , telecommunications , neuroscience , philosophy , linguistics , radar , biology , programming language , image (mathematics)

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