| 脑机融合系统综述 |
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| 引用本文： | 吴朝晖,俞一鹏,潘纲,王跃明. 脑机融合系统综述[J]. 生命科学, 2014, 0(6): 645-649 |
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| 作者姓名： | 吴朝晖 俞一鹏 潘纲 王跃明 |
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| 作者单位： | 浙江大学计算机科学与技术学院,杭州310027 |
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| 基金项目： | 国家重点基础研究发展计划（“973”项目）（2013CB329504） |
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| 摘 要： | 脑机接口是生物脑与电脑或机器之间的一种直接连接通路。脑机融合计算系统是一种基于脑机接口技术,综合利用生物智能和机器智能的新型智能融合系统,其在医疗康复、生活娱乐和军事侦查等方面具有巨大的应用开发潜力。首先从信息传输的角度简述由脑机接口到脑机融合的发展趋势;其次重点阐述脑机融合系统的概念及其研究所面临的挑战,并分三个层次介绍当前若干典型相关工作;最后介绍吴朝晖课题组在脑机融合计算系统方面的相关工作。
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| 关 键 词： | 脑机接口 脑到脑 脑机融合 层次化计算模型 |
Brain-machine integrated systems |
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| WU Zhao-Hui,YU Yi-Peng,PAN Gang,WANG Yue-Ming. Brain-machine integrated systems[J]. Chinese Bulletin of Life Sciences, 2014, 0(6): 645-649 |
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| Authors: | WU Zhao-Hui YU Yi-Peng PAN Gang WANG Yue-Ming |
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| Affiliation: | (College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China) |
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| Abstract: | Brain-machine interface （BMI） is a direct communication pathway between the brain and an external device. Brain-machine integrated systems are a new kind of computational systems based on BMI, which aims to combine living beings＇ intelligence and machines＇ intelligence. It has a great potential in many applications, such as clinical rehabilitation, entertainment, and military surveillance. This paper presents the advances, trends, and challenges in brain-machine integrated systems, and introduces our work in this emerging field. |
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| Keywords: | brain-computer interface brain to brain brain-computer integration hierarchical computation model |
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