How the brain adapts our movements to new conditions remains unclear. Here, the authors show that a recurrent neural network that controls its output using error-based feedback can learn to counteract a persistent perturbation using a biologically plausible plasticity rule, recapitulating key neural and behavioural features of motor adaptation.
- Barbara Feulner
- Matthew G. Perich
- Juan A. Gallego