Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory

Research article (Neural Computation, 2020) · cited 27× · AI/ML
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Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory

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Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/synchrony-and-complexity-in-state-related-eeg-networks-an-application-of-spectral-graph-theory
MLA “Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/synchrony-and-complexity-in-state-related-eeg-networks-an-application-of-spectral-graph-theory.
BibTeX @misc{4ortxyz_synchrony-and-complexity-in-state-related-eeg-networks-an-application-of-spectral-graph-theory_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory}}, year = {2026}, url = {https://4ort.xyz/entity/synchrony-and-complexity-in-state-related-eeg-networks-an-application-of-spectral-graph-theory}, note = {Accessed: 2026-05-24}}
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