Lectures related to Dynamical Response Functions in Neuroscience

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Delves into the continual learning of representational models after deployment, highlighting the limitations of current artificial neural networks.

Explores linear response in high-dimensional systems, covering theory, practice, and implications of non-hyperbolicity and inhomogeneous subsystems.