Resumen de Two brains, one mind
A brain-computer interface (BCI) system records the brain's electrical activity using EEG signals, which are detected with electrodes attached to the scalp. Machine-learning software learns to recognize the patterns generated by each user as they think of a certain concept, such as "left" or "right". Researchers are discovering, however, that they get better results in some tasks by combining the signals from multiple BCI users. Until now, this "collaborative BCI" technique has been used in simple pattern-recognition tasks, but a team at the University of Essex in the UK wanted to test it more rigorously. So they developed a simulator in which pairs of BCI users had to steer a craft towards the dead center of a planet by thinking about one of eight directions that they could fly in, like using compass points. Brain signals representing the users' chosen direction, as interpreted by the machine-learning system, were merged in real time and the spacecraft followed that path.
