We propose a computational framework for high-dimensional brain-body states as transient embodiments of nested internal and external dynamics governed by interoception. Unifying recent theoretical work, we suggest ways to reduce arbitrary state complexity to an observable number of features in order to accurately predict and intervene in pathological trajectories.
Keywords: brain states; brain–body coupling; dimensionality reduction; interoception; low-dimensional manifolds; nested dynamics.
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