When José del R. Millán and his team asked volunteers to guide a joystick toward a target on a screen, something remarkable happened. After just five days of training that used readings from their brain activity, people got much better at noticing tiny mistakes in their hand movements — mistakes so small they normally wouldn't catch them.

The study, published in the journal Advanced Science, compared two types of learning. One group practiced the joystick task the usual way: they noticed a rotation and got told whether they were right. The other group used a brain-computer interface — a system that read their brain's electrical signals through an EEG cap and told them whether their brain had detected an error, even when they weren't sure they had. Both groups trained for five days in a row.

The difference was striking. People who got traditional feedback improved at spotting larger movement errors, but struggled with the tiny ones. The brain-training group, however, got better at both — and improved much faster overall.

The key was a specific brain signal called the error positivity, or Pe. This is the brain's electrical signature that pops up when we consciously notice a mistake. The researchers found that after brain-computer interface training, this Pe signal grew stronger. The more the signal grew, the better people became at catching small errors they would otherwise miss.

"This approach targets the neural signature of error awareness itself, not just behavior," said Millán, a neuroscientist at the University of Texas at Austin. "By decoding the Pe component in real time and feeding it back to participants, we help the brain amplify its own marker of conscious error detection — something conventional training can't do once errors get too subtle to notice."

The findings could eventually help many groups of people. Older adults who struggle with balance might train to catch small stumbles before they turn into falls. Surgeons who need incredibly steady hands could sharpen their precision. Patients with certain brain conditions might rebuild their ability to notice mistakes in their own actions.

What makes this approach special is that it works with the brain's own signals rather than simply rewarding correct answers. When an error is too tiny to see, the brain doesn't know it made a mistake. But the EEG can pick up the signal anyway, letting the brain learn from information it would normally miss. Over time, that feedback helps the brain strengthen its own error-detection system for the smallest mistakes.