Different population dynamics in the supplementary motor area and motor cortex during reaching.

Different population dynamics in the supplementary motor area and motor cortex during reaching.
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DOI:
10.1038/s41467-018-05146-z
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发表时间:
2018-07-16
影响因子:
16.6
通讯作者:
Churchland MM
Churchland MM
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Lara AH;Cunningham JP;Churchland MM

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神经群体通过它们的集体活动来执行计算。不同的计算可能需要不同的人口水平动态。我们利用这一假设来研究从辅助运动区(SMA)和运动皮层记录的神经反应。在视觉引导达到,这两个领域的各自的角色仍然不清楚,在这两个领域的神经元表现出的运动相关的活动和复杂的模式。为了探索种群动态,我们采用了一种新的“假设指导”降维方法。这种方法揭示了共性,但也有明显的差异:线性人口动态,旋转为主,是突出的运动皮层,但在SMA基本上不存在。在运动皮层中,观察到的动力学产生类似于肌肉活动的模式。相反,SMA中的非旋转模式与关于何时应该开始运动的线索共变。因此,虽然SMA和运动皮层在视觉引导到达过程中显示出表面上相似的单神经元反应,但它们不同的群体动态表明它们可能执行完全不同的计算。种群活动动力学是许多神经计算的基础。在这里,作者开发了一种新的假设指导的降维方法,揭示了SMA和M1中非常不同的群体动力学,尽管表面上类似的单神经元反应。
Neural populations perform computations through their collective activity. Different computations likely require different population-level dynamics. We leverage this assumption to examine neural responses recorded from the supplementary motor area (SMA) and motor cortex. During visually guided reaching, the respective roles of these areas remain unclear; neurons in both areas exhibit preparation-related activity and complex patterns of movement-related activity. To explore population dynamics, we employ a novel “hypothesis-guided” dimensionality reduction approach. This approach reveals commonalities but also stark differences: linear population dynamics, dominated by rotations, are prominent in motor cortex but largely absent in SMA. In motor cortex, the observed dynamics produce patterns resembling muscle activity. Conversely, the non-rotational patterns in SMA co-vary with cues regarding when movement should be initiated. Thus, while SMA and motor cortex display superficially similar single-neuron responses during visually guided reaching, their different population dynamics indicate they are likely performing quite different computations. Population activity dynamics underlie many neural computations. Here the authors develop a novel hypothesis-guided dimensionality reduction approach that reveals very different population dynamics in the SMA and M1, despite superficially similar single-neuron responses.
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