空间认知的吸引子动力学  

Attractor Dynamics in Spatial Cognition

作　　者：王子群 王涛[1] 刘锋[1] WANG Zi-qun;WANG Tao;LIU Feng(Department of Physics and Institute for Brain Sciences,Nanjing 210093,China)

机构地区：[1]南京大学物理系和脑科学研究院,南京210093

出　　处：《物理学进展》2023年第6期188-201,共14页Progress In Physics

基　　金：科技部科技创新2030-2021ZD0201300项目的支持。

摘　　要：哺乳动物的导航系统包含多种类型的神经元,负责位置感知和空间路径规划,涉及多信息整合。吸引子动力学理论作为一个能统一解释记忆、决策等复杂认知功能的脑理论,可以解释导航系统中神经元的特异性放电和路径整合机制。本文综述了空间认知领域吸引子动力学的最新研究进展。首先,概要介绍了计算神经科学和吸引子动力学的一般理论。接着,以哺乳动物导航系统的连续吸引子动力学为核心,深入探讨了头朝向细胞和网格细胞的放电动力学特征及其功能意义。在此基础上,对导航系统吸引子理论进行了拓展与展望。The mammalian navigation system comprises various kinds of neurons responsible for position perception and spatial path planning,involving the integration of multiple information sources.As a unified brain theory capable of providing explanations for complex cognitive functions like memory and decision-making,the theory of attractor dynamics can elucidate the firing dynamics of neurons and path integration in the navigation system.This review describes recent advances in attractor dynamics in spatial cognition.First,it provides a brief overview of computational neuroscience and the general theory of attractor dynamics.Subsequently,focusing on the continuous attractor dynamics,it delves into the dynamical characteristics and functional significance of head direction cells and grid cells.Finally,an extension and prospects of the attractor theory for spatial cognition are presented.

关 键 词：计算神经科学 吸引子动力学 导航 头朝向细胞 网格细胞 

分 类 号：Q61[生物学—生物物理学]