Robust neuronal dynamics in premotor cortex during motor planning.
Robust neuronal dynamics in premotor cortex during motor planning.
复制标题
运动规划期间，前皮层的强大神经元动力学。
DOI：
10.1038/nature17643
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发表时间：
2016-04-28
期刊：
影响因子：
64.8
通讯作者：
Druckmann, Shaul
中科院分区：
文献类型：
--
作者：
Li, Nuo;Daie, Kayvon;Svoboda, Karel;Druckmann, Shaul
神经活动维持着连接过去和未来事件的表征，通常持续数秒。网络模型可以产生持续的和急剧的活动，但是对于这些缓慢的动态至关重要的正反馈可能导致对扰动的敏感性。在这里，我们利用小鼠运动前皮层的电生理学和光遗传学扰动来探测运动规划过程中持续神经表征的鲁棒性。预备活动对大规模的单侧沉默具有显著的鲁棒性：驱动特定未来运动的详细神经动力学被网络迅速有选择地恢复。双侧运动前皮质沉默后，选择性没有恢复。因此，来自另一个半球的信息纠正了对一个半球的扰动。胼胝体剖分显示运动前皮层半球可以独立维持预备活动。正如我们在运动前皮层中观察到的那样，选择性耦合模块之间的冗余是鲁棒控制系统的标志。结合这些原则的网络模型显示出与数据一致的鲁棒性。
Neural activity maintains representations that bridge past and future events, often over many seconds. Network models can produce persistent and ramping activity, but the positive feedback that is critical for these slow dynamics can cause sensitivity to perturbations. Here we use electrophysiology and optogenetic perturbations in mouse premotor cortex to probe robustness of persistent neural representations during motor planning. Preparatory activity is remarkably robust to large-scale unilateral silencing: detailed neural dynamics that drive specific future movements were quickly and selectively restored by the network. Selectivity did not recover after bilateral silencing of premotor cortex. Perturbations to one hemisphere are thus corrected by information from the other hemisphere. Corpus callosum bisections demonstrated that premotor cortex hemispheres can maintain preparatory activity independently. Redundancy across selectively coupled modules, as we observed in premotor cortex, is a hallmark of robust control systems. Network models incorporating these principles show robustness that is consistent with data.
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