A newly developed simultaneous brain-machine interface allowed a quadriplegic man to control two prosthetic arms with the power of his mind.
Researchers have developed a new model that represents the planning of movement from seeing an object to grasping it.
The brain processes motor commands, not just through fine muscle contractions, but also via higher-level motor areas that provide a blueprint for performing more complex motor functions, such as grasping, no matter if the toes or fingers are used.
Combining machine learning with neuroprosthetic technology allowed a patient with paralysis to learn to control a computer cursor by utilizing brain activity without extensive daily retraining.
A new wireless intracortical brain-computer interface neuroprosthesis is capable of gathering and transmitting accurate neural signals, using a tenth of the power required by current wire-enabled systems.
Researchers reduced the power requirements of neural interfaces while improving their accuracy by tuning into a subset of brain waves.
Spinal cord stimulation restores the sense of feeling of limbs lost to amputation.
A visual cortical prosthesis can restore sight by bypassing damage to the eyes and delivering visual information retrieved from a camera directly to the brain.
A prosthetic arm that is attached to the bone and controlled by electrodes implanted in nerves and muscles can operate more precisely than conventional prosthetic limbs. Researchers improved the neuroprosthetic hand by integrating tactile sensory feedback, so the patient can "feel" items.
Study provides new evidence supporting the theory that perceptual limitations are caused by a correlated noise in neural activity.
Researchers have developed a new method to record brain activity at scale. The new technique could help in the development of new neuroprosthetic devices to help amputees and those with movement restricting neurological conditions.
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.
