New brain-machine interface technology allows those who are immobile to control their wheelchairs through mind control. The BMI allows users to traverse natural and cluttered environments after training.
A new brain-machine interface allows wearers to wirelessly control a wheelchair or robotic arm by simply imagining an action. The neuroprosthesis could help improve the quality of life for those with disabilities.
Alterations in internal states can influence how behavior improves with learning.
A new machine-learning algorithm has uncovered new neural mechanisms and enhanced the decoding of behaviors directly from brain signaling data.
Researchers reduced the power requirements of neural interfaces while improving their accuracy by tuning into a subset of brain waves.
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.
Researchers 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.
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.