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基底神经节网络动力学与功能:直接、间接和超直接通路在动作选择中的作用。

Basal ganglia network dynamics and function: Role of direct, indirect and hyper-direct pathways in action selection.

作者信息

Song Jian, Lin Hui, Liu Shenquan

机构信息

School of Mathematics, South China University of Technology, Guangzhou, China.

Department of Precision Instruments, Tsinghua University, Beijing, China.

出版信息

Network. 2023 Feb-Feb;34(1-2):84-121. doi: 10.1080/0954898X.2023.2173816. Epub 2023 Mar 1.

Abstract

Basal ganglia (BG) are a widely recognized neural basis for action selection, but its decision-making mechanism is still a difficult problem for researchers. Therefore, we constructed a spiking neural network inspired by the BG anatomical data. Simulation experiments were based on the principle of dis-inhibition and our functional hypothesis within the BG: the direct pathway, the indirect pathway, and the hyper-direct pathway of the BG jointly implement the initiation execution and termination of motor programs. Firstly, we studied the dynamic process of action selection with the network, which contained intra-group competition and inter-group competition. Secondly, we focused on the effects of the stimulus intensity and the proportion of excitation and inhibition on the GPi/SNr. The results suggested that inhibition and excitation shape action selection. They also explained why the firing rate of GPi/SNr did not continue to increase in the action-selection experiment. Finally, we discussed the experimental results with the functional hypothesis. Uniquely, this paper summarized the decision-making neural mechanism of action selection based on the direct pathway, the indirect pathway, and the hyper-direct pathway within BG.

摘要

基底神经节(BG)是广泛认可的动作选择神经基础,但其决策机制仍是研究人员面临的难题。因此,我们构建了一个受BG解剖数据启发的脉冲神经网络。模拟实验基于去抑制原理以及我们在BG内的功能假设:BG的直接通路、间接通路和超直接通路共同实现运动程序的启动、执行和终止。首先,我们用该网络研究了动作选择的动态过程,其中包括组内竞争和组间竞争。其次,我们关注刺激强度以及兴奋与抑制比例对苍白球内侧部/黑质网状部(GPi/SNr)的影响。结果表明,抑制和兴奋塑造动作选择。它们还解释了在动作选择实验中GPi/SNr的放电率为何没有持续增加。最后,我们根据功能假设讨论了实验结果。独特的是,本文总结了基于BG内直接通路、间接通路和超直接通路的动作选择决策神经机制。

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