首页 | 本学科首页   官方微博 | 高级检索  
     检索      

脑科学与类脑研究概述
引用本文:蒲慕明,徐波,谭铁牛.脑科学与类脑研究概述[J].中国科学院院刊,2016,31(7):725-736.
作者姓名:蒲慕明  徐波  谭铁牛
作者单位:中国科学院上海生命科学研究院神经科学研究所 上海 200031;中国科学院脑科学与智能技术卓越创新中心 上海 200031,中国科学院自动化研究所 北京 100190;中国科学院脑科学与智能技术卓越创新中心 上海 200031,中国科学院自动化研究所 北京 100190;中国科学院脑科学与智能技术卓越创新中心 上海 200031
基金项目:中科院战略性先导科技专项项目(B类)(XDB0200000)
摘    要:脑科学和类脑智能技术是两个重要的前沿科技领域;二者相互借鉴、相互融合的发展是近年来国际科学界涌现的新趋势。脑科学研究对大脑认知神经原理的认识,提升了人类对自身的理解和脑重大疾病的诊治水平,也为发展类脑计算系统和器件、突破传统计算机架构的束缚提供了重要的依据。文章概括性地总结了国际脑科学和智能技术领域的总体进展,未来15年的发展趋势和有望解决的重大科学问题,以及我国在这两领域发展的特色和优势。

关 键 词:脑科学  神经网络  脑疾病  人工智能  类脑研究  智能机器人
修稿时间:2016/7/10 0:00:00

Brain Science and Brain-Inspired Intelligence Technology-An Overview
Poo Muming,Xu Bo and Tan Tieniu.Brain Science and Brain-Inspired Intelligence Technology-An Overview[J].Bulletin of the Chinese Academy of Sciences,2016,31(7):725-736.
Authors:Poo Muming  Xu Bo and Tan Tieniu
Institution:Institute of Neuroscience, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China;Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China,Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China and Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
Abstract:Brain science and brain-inspired intelligence technology are two important frontier areas in science and technology. There is an emergent trend in recent years for interaction and fusion of ideas and approaches in these two areas. Elucidation of the basic neural circuit principles of cognitive processes in the brain not only allows us to understand ourselves better but also facilitates the diagnosis and intervention of brain diseases. It also helps the development of brain-like computing methods and devices, and provides the basis for a new generation of computers with design beyond von Neumann architecture. Here we provide an overview of the current status and recent international development, future trend and prospects for solving major problems, and special features and advantages of Chinese researchers in these two areas.
Keywords:brain science  neural network  brain disease  artificial intelligence  brain-inspired research  intelligent robot
本文献已被 CNKI 等数据库收录!
点击此处可从《中国科学院院刊》浏览原始摘要信息
点击此处可从《中国科学院院刊》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号