Computation of linear acceleration through an internal model in the macaque cerebellum.

Computation of linear acceleration through an internal model in the macaque cerebellum.
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DOI:
10.1038/nn.3530
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发表时间:
2013-11
影响因子:
25
通讯作者:
Angelaki, Dora E.
Angelaki, Dora E.
中科院分区:
医学1区
文献类型:
--
作者:
Laurens, Jean;Meng, Hui;Angelaki, Dora E.

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理论和行为研究结果的结合支持了内部模型在解决感觉模糊和感觉运动加工中的作用。尽管小脑已被提议作为实施内部模型的候选者,但缺乏来自神经反应的具体证据。在这里,我们利用非自然的运动刺激,它会导致不正确的自我运动感知和眼动,来探索一个内部模型的神经相关性,该内部模型被提出来补偿爱因斯坦的等效原理,并生成线加速度和重力的神经估计。我们发现,即使在没有实际线加速度发生的情况下,选择实际线加速度的小脑尾侧虫浦肯野细胞和小脑核神经元也编码错误的线加速度,正如内部模型假说所预期的那样。这些发现提供了强有力的证据,表明小脑可能参与了模仿物理原理来解释感觉信号的内部模型的实施,正如理论家之前所假设的那样。
A combination of theory and behavioral findings has supported a role for internal models in the resolution of sensory ambiguities and sensorimotor processing. Although the cerebellum has been proposed as a candidate for implementation of internal models, concrete evidence from neural responses is lacking. Here we exploit un-natural motion stimuli, which induce incorrect self-motion perception and eye movements, to explore the neural correlates of an internal model proposed to compensate for Einstein’s equivalence principle and generate neural estimates of linear acceleration and gravity. We show that caudal cerebellar vermis Purkinje cells and cerebellar nuclei neurons selective for actual linear acceleration also encode erroneous linear acceleration, as expected from the internal model hypothesis, even when no actual linear acceleration occurs. These findings provide strong evidence that the cerebellum might be involved in the implementation of internal models that mimic physical principles to interpret sensory signals, as previously hypothesized by theorists.
DOI: 10.1523/jneurosci.1607-09.2009
发表时间: 2009-07-15
期刊: The Journal of neuroscience : the official journal of the Society for Neuroscience
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