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Scale-mixture Langevin sampling in the subspaces of recurrent cortical circuit dynamics
Continuous attractor networks intrinsically implement scale-mixture Langevin sampling via divisive normalization, yielding heavy-tailed dynamics that accelerate posterior sampling without explicit non-Gaussian components.
Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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