Dynamic decomposition of spatiotemporal neural signals.
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ABSTRACT:
SUBMITTER: Ambrogioni L
PROVIDER: S-EPMC5469506 | biostudies-literature | 2017 May
REPOSITORIES: biostudies-literature
Publications
Dynamic decomposition of spatiotemporal neural signals.
Ambrogioni Luca L van Gerven Marcel A J MAJ Maris Eric E
PLoS computational biology 20170530 5
Neural signals are characterized by rich temporal and spatiotemporal dynamics that reflect the organization of cortical networks. Theoretical research has shown how neural networks can operate at different dynamic ranges that correspond to specific types of information processing. Here we present a data analysis framework that uses a linearized model of these dynamic states in order to decompose the measured neural signal into a series of components that capture both rhythmic and non-rhythmic ne ...[more]
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