Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics

Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics

Cerebral physiological signals embody complex neural, vascular, and metabolic processes that provide valuable insight into the brain’s dynamic nature. Profound comprehension and analysis of these signals are essential for unraveling cerebral intricacies, enabling precise identification of patterns a...

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Bibliographic Details
Main Authors: Nuray Vakitbilir, Amanjyot Singh Sainbhi, Abrar Islam, Alwyn Gomez, Kevin Yuwa Stein, Logan Froese, Tobias Bergmann, Davis McClarty, Rahul Raj, Frederick Adam Zeiler
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Network Physiology
Subjects:
cerebral physiologic signals
multivariate time-series analysis
computational neuroscience
brain function modeling
statistical models
state-space models
Online Access:https://www.frontiersin.org/articles/10.3389/fnetp.2025.1551043/full
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https://www.frontiersin.org/articles/10.3389/fnetp.2025.1551043/full

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