Even months later, the subject was still capable of using the robotic arm after a short 15-minute calibration session.

Published in Neuroelectronics, the study introduces a graph attention network (GAT) that makes it easier to interpret brain signals, leading to more accurate and reliable BCI performance ...

Scientists have developed a brain-computer interface that allows a paralyzed man to control a robotic arm using only his thoughts.

A team of researchers at the University of California, San Francisco (UCSF), has developed a unique brain-computer interface (BCI) that brings the world one step closer to mind-controlled robots. Here ...

In particular, feature alignment based on deep learning in zero-calibration cross-subject frameworks remains ... Experimental evaluations on two public datasets, BCI Competition IV-2a and BCI ...