Multivariate stochastic volatility modeling of neural data

Multivariate stochastic volatility modeling of neural data

Because multivariate autoregressive models have failed to adequately account for the complexity of neural signals, researchers have predominantly relied on non-parametric methods when studying the relations between brain and behavior. Using medial temporal lobe (MTL) recordings from 96 neurosurgical...

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Bibliographic Details
Main Authors: Tung D Phan, Jessica A Wachter, Ethan A Solomon, Michael J Kahana
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2019-08-01
Series:eLife
Subjects:
iEEG
model-based connectivity
free-recall
stochastic volatility
machine learning
Online Access:https://elifesciences.org/articles/42950

Internet

https://elifesciences.org/articles/42950

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