Researchers develop guidelines to standardize analysis of electrodes.

Scientists have discovered that mindful meditation can help subjects learn and improve the ability to mind-control brain computer interfaces (BCIs).

Researchers have developed a technique in which a computer models visual perception by monitoring human brain signals. In a way, it is as if the computer tries to imagine what a human is thinking about. As a result of this imagining, the computer is able to produce entirely new information, such as fictional images that were never before seen. The technique is based on a novel brain-computer interface.

Signals sent from the retina to the brain have a lot of background noise, yet we see the world clearly. Researchers show that to achieve visual clarity the brain must accurately measure how this noise is distributed across neurons when processing the signals sent down the optic nerve. These results are likely to shape the design of future retinal prosthetics and other brain-machine interfaces.

In a significant advance, researchers working towards a brain-controlled prosthetic limb at the UC San Francisco Weill Institute for Neurosciences have shown that machine learning techniques helped a paralyzed individual learn to control a computer cursor using their brain activity without requiring extensive daily retraining, which has been a requirement of all past brain-computer interface (BCI) efforts.