Conditional diffusion models sample viable parameter manifolds whose geometry quantifies compensation, degeneracy, and effective constraints in Lorenz, Izhikevich, and reduced spiking-network models.
Multi-band oscillations emerge from a simple spiking network.Chaos: An Interdisciplinary Journal of Nonlinear Science, 33(4):043121, 2023
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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.