Article

Switching state-space modeling of neural signal dynamics

2022-11-20

Abstract excerpt

Linear parametric state-space models are a ubiquitous tool for analyzing neural time series data, providing a way to characterize the underlying brain dynamics with much greater statistical efficiency than non-parametric data analysis approaches. However, neural time series data are frequently time-varying, exhibiting rapid changes in dynamics, with transient activity that is often the key feature of interest in t...

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Literature Corpus work: fdbcda53-c723-5416-a3c1-f80adc3fe0e2
DOI: 10.1101/2022.11.18.517120

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