Department of Cognitive Science, University of California, San Diego, La Jolla, CA 92092, USA.
Department of Cognitive Science, University of California, San Diego, La Jolla, CA 92092, USA.
Curr Biol. 2020 May 18;30(10):1845-1854.e4. doi: 10.1016/j.cub.2020.03.016. Epub 2020 Apr 16.
Fluid navigation requires constant updating of planned movements to adapt to evolving obstacles and goals. For that reason, a neural substrate for navigation demands spatial and environmental information and the ability to effect actions through efferents. The secondary motor cortex (M2) is a prime candidate for this role given its interconnectivity with association cortices that encode spatial relationships and its projection to the primary motor cortex. Here, we report that M2 neurons robustly encode both planned and current left/right turning actions across multiple turn locations in a multi-route navigational task. Comparisons within a common statistical framework reveal that M2 neurons differentiate contextual factors, including environmental position, route, action sequence, orientation, and choice availability. Despite significant modulation by environmental factors, action planning, and execution are the dominant output signals of M2 neurons. These results identify the M2 as a structure integrating spatial information toward the updating of planned movements.
流体导航需要不断更新计划的运动,以适应不断变化的障碍物和目标。出于这个原因,导航的神经基质需要空间和环境信息,以及通过传出神经实施行动的能力。鉴于其与编码空间关系的联合皮层的相互连接性及其向初级运动皮层的投射,次级运动皮层(M2)是这一角色的主要候选者。在这里,我们报告 M2 神经元在多项导航任务的多个转弯位置上,强烈地编码计划中的和当前的左右转弯动作。在一个共同的统计框架内进行比较,揭示了 M2 神经元区分上下文因素,包括环境位置、路线、动作序列、方向和选择可用性。尽管受到环境因素的显著调节,但动作规划和执行是 M2 神经元的主要输出信号。这些结果确定了 M2 作为一个结构,将空间信息整合到计划中的运动更新中。