Introduces M-information as a scalable measure of higher-order information integration in multivariate time series, computed via convex optimization and tested on neuronal and neuroimaging data.
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Synchronization conditions for discrete-time heterogeneous multiagent systems are established from the average of initial dynamic matrices, unifying homogeneous and heterogeneous cases without requiring small differences among agents.
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A scalable estimator of higher-order information in complex dynamical systems
Introduces M-information as a scalable measure of higher-order information integration in multivariate time series, computed via convex optimization and tested on neuronal and neuroimaging data.
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Autonomous Synchronization of Discrete-Time Heterogeneous Multiagent Systems
Synchronization conditions for discrete-time heterogeneous multiagent systems are established from the average of initial dynamic matrices, unifying homogeneous and heterogeneous cases without requiring small differences among agents.