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基于脑机智能微弱信号的高效识别与控制系统
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作者 姚欣 李保雪 王宁心 《中国高新科技》 2024年第16期28-30,共3页
系统以神经与认知科学为基础,利用脑-机接口技术对脑电等生理电信息解析、解码与表征等技术,建立脑电与微弱信号目标的映射关系,进一步探究人脑智能与机器智能的深层次联系。整合人脑的超强环境感知、信息整合、快速决策等优势和机器脑... 系统以神经与认知科学为基础,利用脑-机接口技术对脑电等生理电信息解析、解码与表征等技术,建立脑电与微弱信号目标的映射关系,进一步探究人脑智能与机器智能的深层次联系。整合人脑的超强环境感知、信息整合、快速决策等优势和机器脑的大容量存储、快速计算、精准执行等能力,建立以人为中心,人机混合,同感知、同决策、同执行,突破传统智能的脑机混合智能系统,实现对微弱信号目标的高效识别与控制,为脑-机接口技术在提升无人系统性能与控制策略等方面提供技术支撑,为实现人机交互、人机协作、人机共融奠定技术储备。 展开更多
关键词 脑机智能 人机混合 高效识别与控制
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脑机智能哲学与意识问题
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作者 李忠伟 《社会科学》 CSSCI 北大核心 2024年第2期26-37,共12页
脑机智能是通过脑机接口实现的结合生物脑智能和机器智能的智能系统。该系统捕捉人脑的神经活动信号,并由人工智能进行解码,以控制仿生肢体、生成语音或执行其他操作。同时,人工智能根据生物的状态、环境、任务和需求生成对生物身体与... 脑机智能是通过脑机接口实现的结合生物脑智能和机器智能的智能系统。该系统捕捉人脑的神经活动信号,并由人工智能进行解码,以控制仿生肢体、生成语音或执行其他操作。同时,人工智能根据生物的状态、环境、任务和需求生成对生物身体与大脑的刺激,旨在恢复或增强知觉、行为和情感。然而,当前的脑机智能虽然能够实现一些基本功能,但尚未实现真正可靠的意识体验,也未能帮助主体获得完整的自主感和能动感。在考虑橡胶手错觉、幻肢体验等意识错觉、神经可塑性的科学原理以及延展性的心灵与意识的哲学洞见的基础上,脑机智能能够实现可靠的意识体验和自主感。此外,采用多模态控制信号和反馈,以及利用人工智能进行控制和反馈,能够使脑机智能在功能上更加强大,并且能够提供更真实的意识体验和更强烈的自主感和能动感。 展开更多
关键词 脑机智能 身体图示 神经可塑 意识 自主感
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浙江省脑机接口产业发展趋势研究
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作者 查玮 杨雨潇 胡胜蓉 《信息通信技术与政策》 2024年第5期47-53,共7页
脑机接口(Brain-Computer Interface,BCI)是人工智能与脑科学交叉融合的前沿方向,其发展正处于由科研走向市场的拐点,已成为各国各地抢占未来产业“新赛道”的战略必争之地。基于浙江省脑机融合技术研究和转化方面的先行优势,对BCI发展... 脑机接口(Brain-Computer Interface,BCI)是人工智能与脑科学交叉融合的前沿方向,其发展正处于由科研走向市场的拐点,已成为各国各地抢占未来产业“新赛道”的战略必争之地。基于浙江省脑机融合技术研究和转化方面的先行优势,对BCI发展前沿成果、浙江省BCI发展基础及短板开展研究,分析重点领域发展趋势,提出了抢抓机遇加快布局,围绕神经环路解析、BCI芯片、脑机智能融合、脑机医疗应用等领域,加强政策支持,打造重大平台,培育领军企业,加快场景应用,推动多跨协同,变“0到1”的优势为“1到100”的胜势,将BCI产业培育为我国未来产业优势赛道的发展建议。 展开更多
关键词 机接口 神经环路解析 机芯片 脑机智能
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Intelligent Machine Theory--A Key Approach to Initiate the Age of Designing Thinking Computers
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作者 Mustafa Pehlivan 《Journal of Mathematics and System Science》 2013年第8期417-418,共2页
The purpose of this paper is to introduce an unknown method for finding a real possible x value of any degree polynomial equation and to show how this can be applied to make computers which are at least x1000 (one th... The purpose of this paper is to introduce an unknown method for finding a real possible x value of any degree polynomial equation and to show how this can be applied to make computers which are at least x1000 (one thousand times) faster than today's existing highest speed computers. Since one of the Milennium Prize Problems offered by Claymath asks about whether P (Deterministic Polynomial) is equal to NP (Non-Deterministic Polynomial) (what that means informally is that whether we can design a computer which can quickly solve a certain complicated problem can also verify the solution quickly (and vice versa). Fortunately, the answer to P vs. NP problem based on my findings in certain algebraic algorythms is yes although there have been many people who claimed the answer is no. What that means is that humans can make machines that work very fast and close to human intelligence in the identification of, say, certain proteins and amino acids, in case my theory is proven to be a fact. This paper is therefore an initial stage of planting the first seeds of the process, in terms of describing how exactly this can happen, theoretically of course, since everything in Science begins with a theory based on the outcome of a hypothesis. 展开更多
关键词 FORMULA POLYNOMIAL equation x DEGREE function power solution milennium PRIZE problem
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A platform of digital brain using crowd power
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作者 Dongrong XU Fei DAI Yue LU 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2018年第1期78-90,共13页
A powerful platform of digital brain is proposed using crowd wisdom for brain research,based on the computational artificial intelligence model of synthesis reasoning and multi-source analogical generating.The design ... A powerful platform of digital brain is proposed using crowd wisdom for brain research,based on the computational artificial intelligence model of synthesis reasoning and multi-source analogical generating.The design of the platform aims to make it a comprehensive brain database,a brain phantom generator,a brain knowledge base,and an intelligent assistant for research on neurological and psychiatric diseases and brain development.Using big data,crowd wisdom,and high performance computers may significantly enhance the capability of the platform.Preliminary achievements along this track are reported. 展开更多
关键词 Artificial intelligence Digital brain Synthesis reasoning Multi-source analogical generating Crowd wisdom Deducing Neuroimaging
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