Researchers reduced the power requirements of neural interfaces while improving their accuracy by tuning into a subset of brain waves. Read More
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Researchers were able to restore the sense of touch to a 28-year-old who suffered a spinal cord injury with the help of new brain-computer interface technology. Read More
Machine learning algorithm allows a brain-computer interface to readjust itself continually in the background to ensure the system is always calibrated and ready to use. Read More
artificial intelligencedeep learningFeaturedmachine learningNeuroscienceNeurotechOpen Neuroscience Articles
··3 min readResearchers have created a hybrid neural network where biological and artificial neurons in different parts of the world were able to communicate via the internet through a hub of memristive synapses. Read More
artificial intelligencedeep learningFeaturedmachine learningNeuroscienceNeurotechOpen Neuroscience Articles
··3 min readApplying 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. Read More
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. Read More
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. Read More
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. Read More
Researchers are developing a sophisticated prosthetic hand that can be directly controlled by the thoughts of the user. Read More
A new brain-machine interface technology can enhance emotional interaction with music. Read More
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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. Read More
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. Read More
