Brain-machine Interfaces: Bidirectional Communication at Last
Since the early seventies, scientists have been developing brain-machine interfaces; the main application being the use of neural prosthesis in paralyzed patients or amputees. A prosthetic limb directly controlled by brain activity can partially recover the lost motor function. This is achieved by decoding neuronal activity recorded with electrodes and translating it into robotic movements. Such systems however have limited precision due to the absence of sensory feedback from the artificial limb. Neuroscientists at the University of Geneva (UNIGE), Switzerland, asked whether it was possible to transmit this missing sensation back to the brain by stimulating neural activity in the cortex. They discovered that not only was it possible to create an artificial sensation of neuroprosthetic movements, but that the underlying learning process occurs very rapidly. These findings were obtained by resorting to modern imaging and optical stimulation tools, offering an innovative alternative to the classical electrode approach.
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Winter Clinics for Cranial and Spinal Surgery
Feb. 25, 2018 - Mar. 1, 2018; Snowmass Village, Colo.
69th Southern Neurosurgical Society Annual Meeting
Feb. 28, 2018 - Mar. 3, 2018; San Juan, PR
Second International Brain Mapping Course
April 26-27, 2018; New Orleans
2018 AANS Annual Scientific Meeting
April 28-May 2, 2018; New Orleans
2018 American Society for Stereotactic and Functional Neurosurgery Biennial Meeting
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