Recorded 31 August 2022. Andrey Shilnikov of Georgia State University presents "Reconstructed rhythm-generation by neural circuits in two sea slugs" at IPAM's Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond. Abstract: We disclose biologically plausible concepts to model swim center pattern generators in two sea slugs. We show how nonlinear reciprocation of cellular and synaptic dynamics underlies emergent network-level bursting. We discuss some of its prominent features including feed back loops to maintain stability of rhythm-generation, as well its resilience to short and long-term perturbations. Our research approaches are rooted in applied dynamical systems, parameter optimization with machine learning elements. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/reconstructing-network-dynamics-from-data-applications-to-neuroscience-and-beyond/?tab=overview