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.
Three days of training with brain-computer interface technology reduced phantom limb pain. Patients reported a 30% reduction in pain after one session, and the effect lasted up to five days after training was complete.
Researchers provide the first evidence that the human brain replays waking experiences while we sleep.
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.
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.
The hand knob area of the premotor cortex operates across a wide range of motor functions and body areas.
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.
Artificial IntelligenceAuditory NeuroscienceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles··4 min read
Using artificial intelligence and brain-computer interface technology, researchers reconstructed English words from neural signals recorded from the brains of non-human primates.
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.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles··8 min read
Using ECoG and machine learning, researchers decoded spoken words and phrases in real-time from brain signals that control speech. The technology could eventually be used to help those who have lost vocal control to regain their voice.