BCIwiki (bciwiki.com) — Srikantan S. Nagarajan of the University of California, San Francisco and Preeya Khanna of UC Berkeley examine how users learn to control human-machine interfaces in a Neuron commentary published on October 22, 2026.
The commentary discusses a study by Vassiliadis and colleagues in the same journal, focusing on the interaction between continuous closed-loop reinforcement and sensory feedback during control learning. In a closed loop, users receive feedback as they operate the system.
The authors identify augmented reality devices, hand prostheses and brain-computer interfaces as interfaces used in neurorehabilitation. The article comments on control learning; it does not report a new device efficacy trial.