Brain–machine interface
A brain–machine interface (BMI) is a device that translates neuronal information into commands capable of controlling external software or hardware such as a computer or robotic arm. BMIs are often used as assisted living devices for individuals with motor or sensory impairments.
Latest Research and Reviews
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Research
| Open Access
AJILE12: Long-term naturalistic human intracranial neural recordings and pose
Scientific Data 9, 184 -
Research
| Open Access
Decoding personalized motor cortical excitability states from human electroencephalography
Scientific Reports 12, 6323 -
Research
| Open Access
Neuromotor prosthetic to treat stroke-related paresis: N-of-1 trial
Communications Medicine 2, 37 -
Research
| Open Access
Novel fNIRS study on homogeneous symmetric feature-based transfer learning for brain–computer interface
Scientific Reports 12, 3198 -
Research
| Open Access
A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity
Scientific Reports 12, 1101
Characteristics and stability of sensorimotor activity driven by isolated-muscle group activation in a human with tetraplegia
AJILE12: Long-term naturalistic human intracranial neural recordings and pose
Decoding personalized motor cortical excitability states from human electroencephalography
Neuromotor prosthetic to treat stroke-related paresis: N-of-1 trial
Novel fNIRS study on homogeneous symmetric feature-based transfer learning for brain–computer interface
A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity
Robotic body augmentation
Optical deep-cortex exploration in behaving rhesus macaques
Handwriting with a brain implant
Neuroprosthetics in systems neuroscience and medicine
Increasing power efficiency
From unstable input to robust output