A learning-based approach to artificial sensory feedback leads to optimal integration.
A learning-based approach to artificial sensory feedback leads to optimal integration.
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DOI:
10.1038/nn.3883
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发表时间:
2015-01
影响因子:
25
通讯作者:
Sabes, Philip N.
中科院分区:
文献类型:
--
作者:
Dadarlat, Maria C.;O'Doherty, Joseph E.;Sabes, Philip N.
Proprioception—the sense of the body’s position in space—plays an important role in natural movement planning and execution and will likewise be necessary for successful motor prostheses and Brain–Machine Interfaces (BMIs). Here, we demonstrated that monkeys could learn to use an initially unfamiliar multi–channel intracortical microstimulation (ICMS) signal, which provided continuous information about hand position relative to an unseen target, to complete accurate reaches. Furthermore, monkeys combined this artificial signal with vision to form an optimal, minimum–variance estimate of relative hand position. These results demonstrate that a learning–based approach can be used to provide a rich artificial sensory feedback signal, suggesting a new strategy for restoring proprioception to patients using BMIs as well as a powerful new tool for studying the adaptive mechanisms of sensory integration.
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DOI:
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发表时间:
2012-03-01
影响因子:
4.9
作者:
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25
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DOI:
10.1037/h0040546
发表时间:
1963-01-01
期刊:
JOURNAL OF COMPARATIVE AND PHYSIOLOGICAL PSYCHOLOGY
影响因子:
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作者:
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通讯作者:
HEIN, A
DOI:
10.1073/pnas.0913209107
发表时间:
2010-04-27
影响因子:
11.1
作者:
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通讯作者:
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