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连接基底神经节、小脑和大脑皮层的分布式模块化架构:它们在动作规划和控制中的作用。

Distributed modular architectures linking basal ganglia, cerebellum, and cerebral cortex: their role in planning and controlling action.

作者信息

Houk J C, Wise S P

机构信息

Department of Physiology, Northwestern University Medical School, Chicago, Illinois 60611, USA.

出版信息

Cereb Cortex. 1995 Mar-Apr;5(2):95-110. doi: 10.1093/cercor/5.2.95.

Abstract

The motor system includes structures distributed widely through the CNS, and in this feature article we present a scheme for how they might cooperate in the control of action. Distributed modules, which constitute the basic building blocks of our model, include recurrent loops connecting distant brain structures, as well as local circuitry that modulates loop activity. We consider interconnections among the basal ganglia, cerebellum, and cerebral cortex and the specialized properties of certain cell types within each of those structures, namely, striatal spiny neurons, cerebellar Purkinje cells, and neocortical pyramidal cells. In our model, striatal spiny neurons of the basal ganglia function in contextual pattern recognition under the training influence of reinforcement signals transmitted in dopamine fibers. Cerebellar Purkinje cells also function in pattern recognition, in their case to select and execute actions through training supervised by climbing fibers, which signal discoordination. Neocortical pyramidal cells perform collective computations learned through a local training mechanism and also function as information stores for other modular operations. We discuss how distributed modules might function in a parallel, cooperative manner to plan, modulate, and execute action.

摘要

运动系统包括广泛分布于中枢神经系统的结构,在这篇专题文章中,我们提出了一个关于它们如何在动作控制中协同作用的方案。分布式模块构成了我们模型的基本构建单元,包括连接远距离脑结构的递归回路,以及调节回路活动的局部电路。我们考虑基底神经节、小脑和大脑皮层之间的相互连接,以及这些结构中每种结构内某些细胞类型的特殊属性,即纹状体棘状神经元、小脑浦肯野细胞和新皮质锥体细胞。在我们的模型中,基底神经节的纹状体棘状神经元在多巴胺纤维传递的强化信号的训练影响下,在情境模式识别中发挥作用。小脑浦肯野细胞也在模式识别中发挥作用,在这种情况下,它们通过由发出不协调信号的攀缘纤维监督的训练来选择和执行动作。新皮质锥体细胞通过局部训练机制执行集体计算,并且还作为其他模块化操作的信息存储库。我们讨论了分布式模块如何以并行、协作的方式发挥作用来计划、调节和执行动作。

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