

A neural implementation model of feedback-based motor learning - Nature Communications, 2025
Feulner, B., Perich, M. G., Miller, L. E., Clopath, C., Gallego, J. A. Abstact Animals use feedback to rapidly correct ongoing movements in the presence of a perturbation. Repeated exposure to a predictable perturbation leads to behavioural adaptation that compensates for its effects. Here, we tested the hypothesis that all the processes necessary for motor adaptation may emerge as properties of a controller that adaptively updates its policy. We trained a recurrent neural ne
Feb 20, 20251 min read















































