Decomposition of a sensory prediction error signal for visuomotor adaptation.
Decomposition of a sensory prediction error signal for visuomotor adaptation.
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DOI:
10.1037/xhp0000440
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发表时间:
2018-03
期刊:
影响因子:
--
通讯作者:
Taylor JA
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文献类型:
--
作者:
Butcher PA;Taylor JA
To accomplish effective motor control the brain is thought to contain an internal forward model that predicts the expected sensory consequence of a motor command. When this prediction is inaccurate, a sensory-prediction error is produced which adapts the forward model to make more accurate predictions of future movements. Other types of errors, such as task performance errors or reward, play less of a role in adapting a forward model. This raises the question: What unique information is conveyed by the sensory-prediction error that results in forward model adaptation? Sensory-prediction errors typically contain both the magnitude and direction of the error, but it is unclear if both components are necessary for adaptation or a single component is sufficient. Here we address this by having participants learn to counter a visuomotor rotation, which induces an angular mismatch between movements of the hand and visual feedback. We manipulated the information content of the visual feedback, in the form of a line, which accurately represented only the magnitude (distance), direction, or both magnitude and direction, of the virtual cursor relative to the target. We demonstrate that sensorimotor adaptation does not occur, or is minimal, when feedback is limited to information about the magnitude of an error. In contrast, sensorimotor adaptation is present when feedback is limited only to the direction of an error, or contains combined direction and magnitude information. This result stands in contrast to current computational models of cerebellar-based sensorimotor adaptation, which utilize error magnitude to drive adaptation.
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影响因子:
2
作者:
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通讯作者:
Yin, PB
DOI:
10.1073/pnas.0404965101
发表时间:
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影响因子:
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DOI:
10.1126/science.1253138
发表时间:
2014-09-12
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
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通讯作者:
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