Learning without plasticity

Animals and humans show a remarkable ability to adaptively remap sensory flow into volitional movements, on timescales of seconds, minutes and hours. Much of this fast learning relies on activity-dependent processes - contextual and structure inference, input-driven reorganization of dynamics, and flexible association between brain areas. I am using network models and multi-region data to develop a theoretical and biological understanding of such learning without plasticity.