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Sparse model-based estimation of functional dependence in high-dimensional field and spike multiscale networks.

08:00 EDT 17th May 2019 | BioPortfolio

Summary of "Sparse model-based estimation of functional dependence in high-dimensional field and spike multiscale networks."

Behavior is encoded across multiple scales of brain activity, from binary neuronal spikes to continuous fields including local field potentials (LFP). Multiscale models need to describe both the encoding of behavior and the conditional dependencies in simultaneously recorded spike and field signals, which form a high-dimensional multiscale network. However, learning spike-field dependencies in high-dimensional recordings is challenging due to the prohibitively large number of spike-field signal pairs, which makes standard learning techniques subject to overfitting.

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This article was published in the following journal.

Name: Journal of neural engineering
ISSN: 1741-2552
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