Applying a nonlinear signal processing method to experimental data, a new study reveals a connection between motor behavior and brain activity. The findings could help with the development of new brain-computer interfaces and artificial intelligence technologies.
Neural activity patterns for limb movements remain stable over time. Researchers were able to record, decode, and reconstruct activity patterns from common movement skills. The findings could have immediate implications for the development of neuroprosthetics that can bypass brain injuries by inferring intended motor actions from a person's brain.
A bilateral implant and brain-machine interface technology allowed a patient with a high spinal cord injury to control prosthetic arms with the power of thought.
Researchers have developed a new brain-machine interface headset that harnesses the power of machine learning to allow those with disabilities to maneuver their wheelchair with thought alone.
Researchers are developing a sophisticated prosthetic hand that can be directly controlled by the thoughts of the user.
A new brain-machine interface technology can enhance emotional interaction with music.
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.