自主导航条件下网格细胞放电模型

The Model of Grid Cell Firing Under Autonomous Navigation Condition

  • 摘要: 网格细胞是动物大脑导航环路中一种重要的神经元细胞,它既可以自主完成路径整合功能,又可以与其他大脑区域共同完成复杂环境的空间导航。该文利用反应-扩散机制,对自主导航时网格细胞放电野的形成进行吸引子网络建模,分别得到网格细胞群间的突触联接关系、网格细胞放电率的非线性限制以及兴奋性网格细胞对自运动信息的响应方式。仿真结果表明,该模型可以有效模拟网格细胞群等边六边形放电率分布的形成过程,以及网格细胞根据自运动信息产生等边六边形放电野的过程,为类脑导航系统的构建提供了借鉴。

     

    Abstract: Grid cell is an important neuron cell in the navigation loop of animal brain. It can complete the function of path integration autonomously, and can complete complex environment space navigation with other brain regions. In this paper, the reaction-diffusion mechanism is used to model the formation of grid-cell firing field in autonomous navigation. The synaptic connections between the grid-cell groups, the nonlinear restriction of the grid-cells firing rate, and the response of the excitatory grid-cells to the ego-emotion information are obtained respectively. The simulation results show that the proposed model can effectively simulate the formation process of grid-like firing rate distribution in the grid-cell groups, and the formation process of hexagon firing field of individual grid-cells based on the ego-motion information. The proposed model can provide a reference for the construction of brain-inspired navigation system.

     

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