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IEEE.Brain-controlled.Devices.The.Perception-action.Closed.
.Loop.2016.RETAiL.eBook-iDiB

PACKS________: idib-bbrain
RELEASE DATE_: 2019.09.14
YEAR_________: 2016
LANGUAGE_____: English
RELEASE SIZE_: 0 Mb - 01 files
PAGES________: 2

SOURCE_______: https://ieeexplore.ieee.org/document/7457451
PROTECTION___: -(removed)
FORMAT_______: .pdf

ISBN CODE____: 978-1-4673-7842-0
GENRE________: Scientific Papers

NOTES________: Enjoy

PLOT_________: Abstract: Future neuroprosthetics will be
tightly coupled with the user in such a way
that the resulting system can replace and
restore impaired upper limb functions because
controlled by the same neural signals than
their natural counterparts. However, robust
and natural interaction of subjects with
sophisticated prostheses over long periods of
time remains a major challenge. To tackle
this challenge we can get inspiration from
natural motor control, where goal-directed
behavior is dynamically modulated by
perceptual feedback resulting from executed
actions. Current brain-computer interfaces
(BCI) partly emulate human motor control as
they decode cortical correlates of movement
parameters -from onset of a movement to
directions to instantaneous velocity- in
order to generate the sequence of movements
for the neuroprosthesis. A closer look,
though, shows that motor control results from
the combined activity of the cerebral cortex,
subcortical areas and spinal cord. This
hierarchical organization supports the
hypothesis that complex behaviours can be
controlled using the low-dimensional output
of a BCI in conjunction with intelligent
devices in charge to perform low-level
commands. A further component that will
facilitate intuitive and natural control of
motor neuroprosthetics is the incorporation
of rich multimodal feedback and neural
correlates of perceptual cognitive processes
resulting from this feedback. As in natural
motor control, these sources of information
can dynamically modulate interaction.

QUOTE________: ' '

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