基于智能计算的脑机制研究  

Brain mechanism research based on intelligent computing

作　　者：邬霞[1,2] 李锐 封春亮[4] WU Xia;LI Rui;FENG Chunliang(School of Artificial Intelligence,Beijing Normal University,Beijing 100875,China;Intelligence Technology and Education En-gineering Research Center,Ministry of Education,Beijing 100816,China;Health and Genetic Psychology Research Laboratory,Institute of Psychology,Chinese Academy of Sciences,Beijing 100101,China;School of Psychology,South China Normal Uni-versity,Guangzhou 510631,China)

机构地区：[1]北京师范大学人工智能学院,北京100875 [2]教育部智能技术与教育应用教育部工程研究中心,北京100816 [3]中国科学院心理研究所健康与遗传心理学研究室,北京100101 [4]华南师范大学心理学院,广东广州510631

出　　处：《智能系统学报》2021年第5期849-856,共8页CAAI Transactions on Intelligent Systems

基　　金：北京市自然科学基金项目(4212037).

摘　　要：解析脑认知原理和脑疾病的发病机制已是当下脑科学研究的热点。智能计算在脑影像领域的应用可为认知心理学研究、脑疾病的识别和干预以及类脑智能理论研究等提供借鉴和参考。本文介绍利用智能影像计算方法在识别脑认知网络成分、构建脑有向连接模型、预测认知行为变化、构建心理过程神经表征等方面的工作,并对未来相关研究进行展望。Unveiling the mechanism of brain cognition and the pathogenesis of brain diseases has become a hot spot in today’s brain science research.The application of intelligent computing in brain imaging can provide theoretical and practical references for many studies including cognitive psychology,identification and intervention of brain diseases,and the theoretical research on brain-like inspired intelligence.This paper introduces an intelligent neuroimaging com-puting method for the identification of brain cognitive network components,the construction of brain directed connec-tion models,the prediction of cognitive changes and the construction of neural representation of psychological process,and looks forward to the related research in the future.

关 键 词：脑机制 神经影像 功能磁共振 智能计算 脑连接 脑疾病 脑认知 脑网络 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]