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Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics
Time-varying linear state-space models are powerful tools for obtaining mathematically interpretable representations of neural signals. …
Yenho Chen, Noga Mudrik, Kyle A. Johnsen, Sankaraleengam Alagapan, Adam S. Charles, Christopher J. Rozell
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Bridging Model and Experiment in Systems Neuroscience with Cleo: The Closed-Loop, Electrophysiology, and Optophysiology Simulation Testbed
Systems neuroscience has experienced an explosion of new tools for reading and writing neural activity, enabling exciting new …
Kyle A. Johnsen, Nathanael A. Cruzado, Zachary C. Menard, Adam A. Willats, Adam S. Charles, Jeffrey E. Markowitz, Christopher J. Rozell
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