A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordings.

ABSTRACT: Modern neurophysiological recordings are performed using multichannel sensor arrays that are able to record activity in an increasingly high number of channels numbering in the 100's to 1000's. Often, underlying lower-dimensional patterns of activity are responsible for the observed dynamics, but these representations are difficult to reliably identify using existing methods that attempt to summarize multivariate relationships in a post-hoc manner from univariate analyses, or using current blind source separation methods. While such methods can reveal appealing patterns of activity, determining the number of components to include, assessing their statistical significance, and interpreting them requires extensive manual intervention and subjective judgement in practice. These difficulties w

SUBMITTER: Das P 

PROVIDER: S-EPMC10402019 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature