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Energy-Based Dynamical Models for Neurocomputation, Learning, and Optimization
disordered-systems-and-neural-networksdynamical-systemsmachine-learningneurons-and-cognitionsystems-and-control
Recent advances at the intersection of control theory, neuroscience, and machine learning have revealed novel mechanisms by which dynamical systems perform computation. These advances encompass a wide range of conceptual, mathematical, and computational ideas, with applications for model learning an
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