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A brain-computer interface that evokes tactile sensations improves robotic arm control
Author(s) -
Sharlene N. Flesher,
John E. Downey,
Jeffrey M. Weiss,
Christopher Hughes,
Angelica J. Herrera,
Elizabeth C. TylerKabara,
Michael L. Boninger,
Jennifer L. Collinger,
Robert A. Gaunt
Publication year - 2021
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.abd0380
Subject(s) - brain–computer interface , somatosensory system , tetraplegia , microstimulation , neuroprosthetics , computer science , interface (matter) , grasp , haptic technology , physical medicine and rehabilitation , sensory system , robotic arm , artificial intelligence , human–computer interaction , psychology , neuroscience , medicine , electroencephalography , stimulation , bubble , maximum bubble pressure method , parallel computing , spinal cord injury , spinal cord , programming language
A boost for brain–computer interfaces The finely controlled movement of our limbs requires two-way neuronal communication between the brain and the body periphery. This includes afferent information from muscles, joints, and skin, as well as visual feedback to plan, initiate, and execute motor output. In tetraplegia, this neural communication is interrupted in both directions at the level of the spinal cord. Brain–computer interfaces have been developed to produce voluntary motor output controlled by directly recording from brain activity. Flesheret al. added an afferent channel to the brain–computer interface to mimic sensory input from the skin of a hand (see the Perspective by Faisal). The improvements achieved by adding the afferent input were substantial in a battery of motor tasks tested in a human subject.Science , abd0380, this issue p.831 ; see also abi7262, p.791

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