Conditional diffusion models sample viable parameter manifolds whose geometry quantifies compensation, degeneracy, and effective constraints in Lorenz, Izhikevich, and reduced spiking-network models.
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanisms.PNAS Nexus, 3(10): pgae415, 2024
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Diffusion learning reveals viable parameter manifolds and compensation geometry in biological dynamical systems
Conditional diffusion models sample viable parameter manifolds whose geometry quantifies compensation, degeneracy, and effective constraints in Lorenz, Izhikevich, and reduced spiking-network models.