A new AI algorithm can associate brain activity with certain behaviors, an advancement that can help improve brain-computer interfaces and find new patterns in neural activity.

The new algorithm will facilitate the development of advanced brain–computer interfaces that may one day enable paralyzed patients to control devices such as computers and robotic arms.

Development of the motor imagery brain-computer interface can help develop an active rehabilitation therapy where the patient can move his limb according to his own movement intention (motor imagery).

While invasive electrode recordings in humans show long-term promise, non-invasive techniques can also provide effective brain-computer interfacing (BCI) and localization of motor activity in the ...

Over the last few decades research into brain–computer interfaces (BCIs), which allow direct communication between the brain and an external device such a computer or prosthetic, has skyrocketed.

Indeed, Brain-Computer Interfacing as it is known, could become a tool for understanding oneself better." Nevertheless, there is still a way to go before the technique can be applied beyond the ...