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Multivariate directed connectivity analysis (MDCA) enables decoding of directed interactions in neural and social networks

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Beta oscillations in a large-scale sensorimotor cortical network: Directional influences revealed by Granger causality
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Network structure and dynamics of the mental workspace
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Network Centrality in the Human Functional Connectome
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Is the Contingent Negative Variation Contingent on a Motor Response?
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Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex
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Detecting Causality in Complex Ecosystems
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Functional Interactions as Big Data in the Human Brain
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The NIH BRAIN Initiative
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Cortical information flow during flexible sensorimotor decisions
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Decoding Neural Representational Spaces Using Multivariate Pattern Analysis
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Information Processing in the Mental Workspace Is Fundamentally Distributed
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Granger Causality of Coupled Climate Processes: Ocean Feedback on the North Atlantic Oscillation
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The Rich Club of theC. elegansNeuronal Connectome
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Representational similarity analysis – connecting the branches of systems neuroscience
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