Deep LearningFeaturedMachine LearningNeuroscienceNeuroscience VideosNeurotechOpen Neuroscience ArticlesRobotics··5 min read
Using EEG and brain computer interface technology, researchers have created a robotic arm that can be controlled without brain implants.
Researchers have developed a new model that represents the planning of movement from seeing an object to grasping it.
Deep LearningFeaturedNeurologyNeuroscienceNeuroscience VideosOpen Neuroscience ArticlesRoboticsVisual Neuroscience··9 min read
Researchers have developed a new prosthetic hand with the ability to 'see' objects. They believe their invention can allow the wearer to automatically reach for objects.
A new study reports neurons in the somatosensory cortex respond differently to various features of a surface, creating a high dimensional representation of texture in the brain. The findings could help develop neuroprosthetics capable of identifying textures in greater detail.
Researchers have developed a novel hybrid machine learning approach to muscle gesture recognition in prosthetic arms.
MIT researchers have developed a new, lightweight robotic hand that provides tactile feedback and is dexterous enough to perform tasks like zipping a suitcase and pouring juice.
A new prosthetic system allows amputees to feel the same intensity of pressure on their prosthetic hand as they can feel with their natural hand.
Mapping brain activity of able body people traversing different terrains on a treadmill may lead to the development of better prosthetics, U of H researchers report.
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.