Findings allow for the development of an autonomously updating brain-machine interface, which is able to improve on its own by learning about its subject without additional programming. The system could help develop new robotic prosthetics, which can perform more naturally.
Neurons in the anterior intraparietal cortex learn to modulate their activity to compensate for errors in brain-machine interface tasks. Findings suggest the extent to which a person can learn a new skill is constrained by preexisting neural networks.
A new quantum sensor is able to automatically receive hydrogen when placed beneath a brain slice. Researchers say this could be the first step in creating a pathway that builds a computer device to store and transfer real memories, in essence, allowing for the 'upload' of memory.
Researchers report a brain computer interface can enable those with paralysis to directly operate tablet technology just by thinking about cursor movements and clicks.
Researchers report the brain controls speech production in a similar manner to how it controls the production of arm and hand movements. The findings could help to build better speech decoders for BMI, helping those who are unable to speak to find their voice.
A new technology for decoding neuromuscular signals may help make prosthetic hands easier for patients to use, researchers report.
A Neuron study reports brain machine interface technology may shed light on how mentally running through a routine improves performance.
University of Tübingen researchers have measured the readiness potential and brain activity in people prior to embarking on a 192 meter bungee jump.