Inferring neural dynamics during burst suppression using a neurophysiology-inspired switching state-space model

Burst suppression is an electroencephalography (EEG) pattern associated with profoundly inactivated brain states characterized by cerebral metabolic depression. Its distinctive feature is alternation between short temporal segments of near-isoelectric inactivity (suppressions) and relatively high-vo...

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Bibliographic Details
Main Authors: Schamberg, Gabriel (Author), Chakravarty, Sourish (Author), Baum, Taylor E (Author), Brown, Emery Neal (Author)
Other Authors: Picower Institute for Learning and Memory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2021-11-22T19:55:48Z.
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