Mark S. Goldman

Constraints for spatially and temporally precise learning in a neural circuit model of reinforcement learning

A biologically plausible, multi-region neural circuit model of songbird vocal learning is presented and it is shown that fast updating of reward prediction is crucial for precise and efficient learning under both forms of interference, and the model predicts the experimentally observed timescale of reward prediction up...