大脑建模的理论框架及热点问题  

Theoretical framework of brain modelling and highlighted problems

作　　者：胡东伟[1] 冯晓璐 HU Dongwei;FENG Xiaolu(The 54th Institute of China Electronics Technology Group Corporation,Shijiazhuang 050080,China;The Shiyan School Attached to Shijiazhuang No.2 Middle School,Shijiazhuang 050080,China)

机构地区：[1]中国电子科技集团公司第五十四研究所,河北石家庄050080 [2]石家庄二中实验学校,河北石家庄050080

出　　处：《智能科学与技术学报》2021年第4期412-432,共21页Chinese Journal of Intelligent Science and Technology

摘　　要：理解大脑的工作原理是实现"终极"人工智能的重要途径。建模并验证模型的正确性是理解大脑工作原理的重要手段。首先概述大脑的实验研究方法和建模研究方法;然后给出大脑的框图模型,并以强化学习为核心介绍大脑建模的理论框架;最后给出目前亟待解决的几个热点问题,并讨论大脑建模与相关学科之间的关系。Understanding how the brain works is an important way to constructing the final artificial general intelligence.Building models,and testing the correctness of these models play a pivotal role on understanding how the brain works.Firstly,the experimental techniques and mathematical modelling methods for the study of brain were reviewed,and then the block diagram model and theoretical framework were shown,with an emphasis on reinforcement learning.Finally,some highlighted problems in this area,and the relation with closely related disciplines were addressed.

关 键 词：大脑 模型 人工智能 机器学习 前额皮层 海马 杏仁核 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]