Dynamic network modeling and dimensionality reduction for human ECoG activity.

08:00 EDT 16th May 2019 | BioPortfolio

Summary of "Dynamic network modeling and dimensionality reduction for human ECoG activity."

Developing dynamic network models for multisite electrocorticogram (ECoG) activity can help study neural representations and design neurotechnologies in humans given the clinical promise of ECoG. However, dynamic network models have so far largely focused on spike recordings rather than ECoG. A dynamic network model for ECoG recordings, which constitute a network, should describe their temporal dynamics while also achieving dimensionality reduction given the inherent spatial and temporal correlations.


Journal Details

This article was published in the following journal.

Name: Journal of neural engineering
ISSN: 1741-2552


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