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Explore a 56-minute conference talk on reconstructing rhythm-generation in neural circuits of sea slugs. Delve into biologically plausible modeling concepts for swim center pattern generators, examining how nonlinear interactions between cellular and synaptic dynamics lead to emergent network-level bursting. Discover the importance of feedback loops in maintaining rhythm stability and the resilience of these systems to various perturbations. Gain insights into research approaches combining applied dynamical systems and parameter optimization with machine learning elements. Presented by Andrey Shilnikov from Georgia State University at IPAM's workshop on Reconstructing Network Dynamics from Data, this talk offers a fascinating look into neuroscience applications and beyond.
