Thought Chart: Tracking Dynamic EEG Brain Connectivity with Unsupervised Manifold Learning

Assuming that the topological space containing all possible brain states forms a very high-dimensional manifold, this paper proposes an unsupervised manifold learning framework to reconstruct and visualize this manifold using EEG brain connectivity data acquired from a group of healthy volunteers.

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