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ANALYSIS AND DESIGN OF A NEURAL CHIP USED FOR BINARY IMAGE PROCESSING
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作者 石秉学 俞能海 《Journal of Electronics(China)》 1992年第4期358-366,共9页
Based on the model of a formal neuron proposed by McCulloch and Pitts,a kind ofneural circuit,which is a CMOS Variable Threshold Logic(VTL)circuit,is given in this paperconsidering the features of the binary image pro... Based on the model of a formal neuron proposed by McCulloch and Pitts,a kind ofneural circuit,which is a CMOS Variable Threshold Logic(VTL)circuit,is given in this paperconsidering the features of the binary image processing system.The theoretical analysis,andthe simulations for the building block circuits such as D/A converters,comparator and so on aregiven.The layout design of the whole circuit are also given.The binary image processing can berealized by using the VTL circuit combined with its external auxiliary circuits. 展开更多
关键词 Binary image PROCESSING neural chip NEURON Variable THRESHOLD logic
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ARTIFICIAL NEURAL NETWORK MODELLING OF A WOOD CHIP REFINER 被引量:1
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作者 钱宇 P.Tessier 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 1995年第4期57-62,共6页
1 INTRODUCTIONWood chip refining is the most critical step in mechanical pulping.Commercical experi-ences have been gained for years.Modelling and control of chip refiners,however,pose a challenge mainly because of th... 1 INTRODUCTIONWood chip refining is the most critical step in mechanical pulping.Commercical experi-ences have been gained for years.Modelling and control of chip refiners,however,pose a challenge mainly because of the stochastic nature of the process.Some attemptshave been made to employ factor analysis technique[1]in the modelling andsimulating of refiner operation[2,3].Strand[2]used common factors as links betweenintrinsic fibre properties and pulp quality.He believed that a qualitative concept onthe physical nature of these common factors could be arrived at,and thus would helpto understand what refining variables need to be controlled or adjusted in order to im-prove pulp quality.However,the linear model used in factor analysis is based on theassumption that the interactions among the system variables are linear,which,ofcourse,is not true in practice. 展开更多
关键词 artificial neural network MODELLING simulation WOOD chip REFINER
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小鼠NPC细胞RFX1ChIP-Seq数据分析
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作者 刘晓杰 赵志虎 +2 位作者 赵小英 张文斗 刘选明 《湖南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2013年第2期59-65,共7页
利用NCBI数据库中小鼠Embryonic Stem Cells(ESC)与Neural ProgenitorCells(NPC)的基因芯片结果及NPC时期的RFX1ChIP-Seq数据,进行有关RFX1的分析,结果表明:RFX1结合位点富集在1,2,4,5,7,9,11染色体上,Y染色体上最少,其他染色体上比较均... 利用NCBI数据库中小鼠Embryonic Stem Cells(ESC)与Neural ProgenitorCells(NPC)的基因芯片结果及NPC时期的RFX1ChIP-Seq数据,进行有关RFX1的分析,结果表明:RFX1结合位点富集在1,2,4,5,7,9,11染色体上,Y染色体上最少,其他染色体上比较均衡;在基因组中结合位点分布区域主要在基因的promoter区域,约有53.2%,其次是intergentic,占22.5%,body区域,占13.1%,enhancer区域,占11.2%.说明RFX1是以结合在基因的promoter区为主要形式对目的基因进行调控.同时在DAVID数据库中用生物信息学方法探索了RFX1靶基因的生物学功能分类. 展开更多
关键词 神经先祖细胞 RFX1 chip—Seq
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Simulation and fabrication of in vitro microfluidic microelectrode array chip for patterned culture and electrophysiological detection of neurons
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作者 Yan Yang Shihong Xu +7 位作者 Yu Deng Yaoyao Liu Kui Zhang Shiya Lv Longze Sha Qi Xu Xinxia Cai Jinping Luo 《Nanotechnology and Precision Engineering》 EI CAS CSCD 2024年第2期1-10,共10页
To enable the detection and modulation of modularized neural networks in vitro,this study proposes a microfluidic microelectrode array chip for the cultivation,compartmentalization,and control of neural cells.The chip... To enable the detection and modulation of modularized neural networks in vitro,this study proposes a microfluidic microelectrode array chip for the cultivation,compartmentalization,and control of neural cells.The chip was designed based on the specific structure of neurons and the requirements for detection and modulation.Finite-element analysis of the chip’s flow field was conducted using the COMSOL Multiphysics software,and the simulation results show that the liquid within the chip can flow smoothly,ensuring stable flow fields that facilitate the uniform growth of neurons within the microfluidic channels.By employing MEMS technology in combination with nanomaterial modification techniques,the microfluidic microelectrode array chip was fabricated successfully.Primary hippocampal neurons were cultured on the chip,forming a well-defined neural network.Spontaneous electrical activity of the detected neurons was recorded,exhibiting a 23.7%increase in amplitude compared to neuronal discharges detected on an open-field microelectrode array.This study provides a platform for the precise detection and modulation of patterned neuronal growth in vitro,potentially serving as a novel tool in neuroscience research. 展开更多
关键词 Microfluidic Microelectrode array In vitro neural chip
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Design of 3D Active Multichannel Silicon Neural Microelectrode
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作者 王頔 张国雄 李醒飞 《Transactions of Tianjin University》 EI CAS 2006年第6期446-451,共6页
To find a design method for 3D active multichannel silicon microelectrode, a microstructure of active neural recording system is presented, where two 2D probes, two integrated circuits and two spacers are microassembl... To find a design method for 3D active multichannel silicon microelectrode, a microstructure of active neural recording system is presented, where two 2D probes, two integrated circuits and two spacers are microassembled on a 5 mm×7 mm silicon platform, and 32 sites neural signals can be operated simultaneously. A theoretical model for measuring the neural signal by the silicon microelectrode is proposed based on the structure and fabrication process of a single-shank probe. The method of determining the dimensional parameters of the probe shank is discussed in the following three aspects, i.e. the structures of pallium and endocranium, coupled interconnecters noise, and strength characteristic of neural probe. The design criterion is to minimize the size of the neural probe as well as that the probe has enough stiffness to pierce the endocranium. The on-chip unity-gain bandpass amplifier has an overall gain of 42 dB over a bandwidth from 60 Hz to 10 kHz; and the DC-baseline stability circuit is of high input resistance above 30 MΩ to guarantee a cutoff frequency below 100 Hz. The circuit works in stimulating or recording modes. The conversion of the modes depends on the stimulating control signal. 展开更多
关键词 MICROELECTRODES neural chips application specific integrated circuits microelectromechanical devices MICROSTRUCTURE
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专利视角看中美人工智能专用芯片龙头企业的竞争态势研究
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作者 刘洁 《中国集成电路》 2026年第3期11-16,30,共7页
随着深度学习、大模型、生成式人工智能等算法技术的迅猛发展,人工智能的发展对于芯片的算力提出了更高的需求,为此适应更高算力要求的人工智能专用芯片应运而生。文章详细对比研究了中美人工智能专用芯片的两大龙头企业的核心技术和专... 随着深度学习、大模型、生成式人工智能等算法技术的迅猛发展,人工智能的发展对于芯片的算力提出了更高的需求,为此适应更高算力要求的人工智能专用芯片应运而生。文章详细对比研究了中美人工智能专用芯片的两大龙头企业的核心技术和专利布局,以期为行业内相关企业发展提供参考借鉴。 展开更多
关键词 人工智能芯片 张量处理器 神经网络处理器 昇腾处理器 专利分析
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人工智能大语言模型、具身智能和AI芯片的新进展 被引量:1
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作者 赵正平 《微纳电子技术》 2026年第2期1-40,共40页
以ChatGPT和DeepSeek为代表的大语言模型(LLM)、具身智能和人工智能(AI)芯片的新发展标志人工智能在向“通用人工智能”发展目标又有了新的进步。综述了人工智能大语言模型、具身智能和AI芯片的最新进展和发展趋势。在人工智能大语言模... 以ChatGPT和DeepSeek为代表的大语言模型(LLM)、具身智能和人工智能(AI)芯片的新发展标志人工智能在向“通用人工智能”发展目标又有了新的进步。综述了人工智能大语言模型、具身智能和AI芯片的最新进展和发展趋势。在人工智能大语言模型领域,包含DeepSeek LLM“现象级”崛起与GPT-5的发布、性能改进、安全性提高和深度应用等方面的新进展和发展趋势。在具身智能领域,包含基本概念和发展远景、框架和算法、具身智能加大语言模型、具身智能在人机交互、环境与伦理和具身智能结合LLM的应用创新等方面的新进展和发展趋势。在AI芯片和量子神经网络领域,包含数字AI芯片、原子级环栅(GAA)新架构工艺、模拟AI芯片、光子神经网络与光子AI芯片以及量子神经网络与应用创新等方面的新进展和发展趋势。 展开更多
关键词 ChatGPT DeepSeek 大语言模型 具身智能 人工智能(AI)芯片 数字AI芯片 模拟AI芯片 光子神经网络 量子神经网络
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SOM神经网络在职业院校单片机课程教学诊断中的应用研究
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作者 俞骋 《现代信息科技》 2026年第5期146-149,共4页
教学诊断是教育活动的重要组成部分。为克服传统教学诊断中面临的工作量大、效率低下且容易受各种人为因素的干扰等问题,文章探索将SOM神经网络应用到职业院校单片机课程的教学诊断中。通过MATLAB仿真发现,在训练次数达到一定值以后,SO... 教学诊断是教育活动的重要组成部分。为克服传统教学诊断中面临的工作量大、效率低下且容易受各种人为因素的干扰等问题,文章探索将SOM神经网络应用到职业院校单片机课程的教学诊断中。通过MATLAB仿真发现,在训练次数达到一定值以后,SOM神经网络可有效提取输入数据的特征进行聚类,清晰呈现不同学生群体的单片机专业能力结构模式,为下一步开展针对性的能力强化提供了施策依据。 展开更多
关键词 SOM神经网络 职业院校 单片机课程 教学诊断
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基于YOLOv11动态蒸馏与深度可分离卷积的芯片缺陷轻量化检测方法
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作者 黎文聪 任家鸿 +1 位作者 陈浩天 陈伟迅 《移动信息》 2026年第1期209-210,246,共3页
文中提出一种基于YOLOv11动态蒸馏和深度可分离卷积的轻量化芯片缺陷检测方法。通过多尺度动态温度蒸馏和可变形特征对齐模块(DFAM),增强模型微小裂纹检测能力并提升精度。同时,重构YOLOv11骨干网络,采用深度可分离卷积和动态通道剪枝,... 文中提出一种基于YOLOv11动态蒸馏和深度可分离卷积的轻量化芯片缺陷检测方法。通过多尺度动态温度蒸馏和可变形特征对齐模块(DFAM),增强模型微小裂纹检测能力并提升精度。同时,重构YOLOv11骨干网络,采用深度可分离卷积和动态通道剪枝,降低模型复杂度,适配边缘设备。实验表明,该方法能够保持高精度,显著优化了模型复杂度和推理效率,适用于嵌入式设备的实时检测。 展开更多
关键词 芯片缺陷检测 知识蒸馏 卷积神经网络 YOLOv11
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人工智能大语言模型、具身智能和AI芯片的新进展(续)
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作者 赵正平 《微纳电子技术》 2026年第3期1-35,共35页
以ChatGPT和Deep Seek为代表的大语言模型(LLM)、具身智能和人工智能(AI)芯片的新发展标志人工智能在向“通用人工智能”发展目标又有了新的进步。综述了人工智能大语言模型、具身智能和AI芯片的最新进展和发展趋势。在人工智能大语言... 以ChatGPT和Deep Seek为代表的大语言模型(LLM)、具身智能和人工智能(AI)芯片的新发展标志人工智能在向“通用人工智能”发展目标又有了新的进步。综述了人工智能大语言模型、具身智能和AI芯片的最新进展和发展趋势。在人工智能大语言模型领域,包含DeepSeek LLM“现象级”崛起与GPT5的发布、性能改进、安全性提高和深度应用等方面的新进展和发展趋势。在具身智能领域,包含基本概念和发展远景、框架和算法、具身智能加大语言模型、具身智能在人机交互、环境与伦理和具身智能结合LLM的应用创新等方面的新进展和发展趋势。在AI芯片和量子神经网络领域,包含数字AI芯片、原子级环栅(GAA)新架构工艺、模拟AI芯片、光子神经网络与光子AI芯片以及量子神经网络与应用创新等方面的新进展和发展趋势。 展开更多
关键词 Chat GPT Deep Seek 大语言模型 具身智能 人工智能(AI)芯片 数字AI芯片 模拟AI芯片 光子神经网络 量子神经网络
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Cell cycle-related genes p57kip2, Cdk5 and Spin in the pathogenesis of neural tube defects 被引量:2
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作者 Xinjun Li Zhong Yang +5 位作者 Yi Zeng Hong Xu Hongli Li Yangyun Han Xiaodong Long Chao You 《Neural Regeneration Research》 SCIE CAS CSCD 2013年第20期1863-1871,共9页
In the field of developmental neurobiology, accurate and ordered regulation of the cell cycle and apoptosis are crucial factors contributing to the normal formation of the neural tube. Preliminary studies identified s... In the field of developmental neurobiology, accurate and ordered regulation of the cell cycle and apoptosis are crucial factors contributing to the normal formation of the neural tube. Preliminary studies identified several genes involved in the development of neural tube defects. In this study, we established a model of developmental neural tube defects by administration of retinoic acid to pregnant rats. Gene chip hybridization analysis showed that genes related to the cell cycle and apoptosis, signal transduction, transcription and translation regulation, energy and metabolism, heat shock, and matrix and cytoskeletal proteins were all involved in the formation of developmental neural tube defects. Among these, cell cycle-related genes were predominant. Retinoic acid treat-ment caused differential expression of three cell cycle-related genes p57kip2, Cdk5 and Spin, the expression levels of which were downregulated by retinoic acid and upregulated during normal neural tube formation. The results of this study indicate that cell cycle-related genes play an im-portant role in the formation of neural tube defects. P57kip2, Cdk5 and Spin may be critical genes in the pathogenesis of neural tube defects. 展开更多
关键词 neural tube defects NEURULATION gene chip cell cycle retinoic acid regulatory factor neural de-velopment regeneration neural regeneration
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面向分布式计算的类脑智能处理器指令集架构设计
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作者 冯烁 路冬冬 +6 位作者 尹飞 杨剑新 班冬松 何军 颜世云 李媛 雎浩宇 《计算机研究与发展》 北大核心 2026年第1期1-14,共14页
作为分布式计算的典型体现之一,端边云协同计算系统能够有效推动物联网、大模型、数字孪生等人工智能技术的垂直落地应用。类脑计算是一种受大脑工作方式启发而提出的智能计算技术,具有能效高、速度快、容错度高、可扩展性强等优点。通... 作为分布式计算的典型体现之一,端边云协同计算系统能够有效推动物联网、大模型、数字孪生等人工智能技术的垂直落地应用。类脑计算是一种受大脑工作方式启发而提出的智能计算技术,具有能效高、速度快、容错度高、可扩展性强等优点。通过利用脉冲神经网络的事件驱动机制和脉冲稀疏发放等特性,类脑计算能够极大地提升分布式端边云系统的实时处理能力和能量效率。针对分布式终端设备的高实时、低功耗、强异构等特点,聚焦于指令集架构这一软硬件的交互界面,给出了一种立足现有系统、易于部署升级、安全自主可控、异构融合兼容的硬件设计方案,一共提出了12条类脑计算指令,完成了基于某国产指令系统的类脑指令集和对应微结构的定制化设计,为类脑计算赋能分布式计算系统奠定了技术基础。 展开更多
关键词 分布式计算 类脑智能 脉冲神经网络 指令集架构 处理器微结构 神经拟态芯片
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集成光计算:现状、挑战与展望(特邀) 被引量:1
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作者 项水英 王一芝 +11 位作者 牛欣然 余梦婷 张钰娜 余澄扬 曾鑫涛 郑殿壮 张雅慧 郭星星 韩亚楠 解长健 王涛 郝跃 《光子学报》 北大核心 2025年第9期100-118,共19页
人工智能、深度学习及大模型的飞速发展对算力和能源提出了迫切需求。传统电子计算芯片依赖冯诺伊曼架构,越来越难以支撑人工智能所需的训练及推理算力需求。随着光子集成技术的不断进步,片上集成光子神经网络芯片得到飞速发展,具有超... 人工智能、深度学习及大模型的飞速发展对算力和能源提出了迫切需求。传统电子计算芯片依赖冯诺伊曼架构,越来越难以支撑人工智能所需的训练及推理算力需求。随着光子集成技术的不断进步,片上集成光子神经网络芯片得到飞速发展,具有超高速、大带宽、多维度等优势,成为人工智能底层算力硬件的重要补充。本文回顾了国内外集成光计算方面的研究进展,重点分析了当前面临的挑战,并对未来的发展提出了展望。 展开更多
关键词 光计算 光子神经网络芯片 光子线性计算 光子非线性计算
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On-Line Identification of Grinding Burn and Wheel Wear Based on Grinding Chips Thermal Flow
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作者 史金飞 张晓玲 +3 位作者 钟秉林 毛善锋 黄仁 田小平 《Journal of Southeast University(English Edition)》 EI CAS 1996年第2期38-42,共5页
The theoretical basis of the grinding chips thermal flow being regarded as the characteristic signal of on line identification is summarized. And on line identification of grinding burn and wheel wear based on the g... The theoretical basis of the grinding chips thermal flow being regarded as the characteristic signal of on line identification is summarized. And on line identification of grinding burn and wheel wear based on the grinding chips thermal flow is introduc 展开更多
关键词 GRINDING BURN WHEEL WEAR identification artificial neural networks GRINDING chipS THERMAL flow
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Analysis of hippocampal gene expression profile of Alzheimer's disease model rats using genome chip bioinformatics 被引量:1
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作者 Yinghong Li Zhengzhi Wu +5 位作者 Yu Jin Anmin Wu Meiqun Cao Kehuan Sun Xiuqin Jia Manyin Chen 《Neural Regeneration Research》 SCIE CAS CSCD 2012年第5期332-340,共9页
In this study, an Alzheimer's disease model was established in rats through stereotactic injection of condensed amyloid beta 1-40 into the bilateral hippocampus, and the changes of gene expression profile in the hipp... In this study, an Alzheimer's disease model was established in rats through stereotactic injection of condensed amyloid beta 1-40 into the bilateral hippocampus, and the changes of gene expression profile in the hippocampus of rat models and sham-operated rats were compared by genome expression profiling analysis. Results showed that the expression of 50 genes was significantly up-regulated (fold change 〉 2), while 21 genes were significantly down-regulated in the hippocampus of Alzheimer's disease model rats (fold change 〈 0.5) compared with the sham-operation group. The differentially expressed genes are involved in many functions, such as brain nerve system development, neuronal differentiation and functional regulation, cellular growth, differentiation and apoptosis, synaptogenesis and plasticity, inflammatory and immune responses, ion channels/transporters, signal transduction, cell material/energy metabolism. Our findings indicate that several genes were abnormally expressed in the metabolic and signal transduction pathways in the hippocampus of amyloid beta 1 40-induced rat model of Alzheimer's disease, thereby affecting the hippocampal and brain functions. 展开更多
关键词 amyloid beta 1-40 Alzheimer's disease HIPPOCAMPUS genome chip gene expression profile neural regeneration
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THE CONTROL, DRIVE AND DISPLAY CIRCUITS ANDDEVICES IN OPTO-ELECTRONIC 2-D PROGRAMMABLE NEURAL NETWORK
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作者 Li Wenchen Zhang Zhiguang(Department of Electronic Science, Nankai University, Tianjin 300071)Zhang Yanxin (Institute of Modern Optics, Nankai University, Tianjin 300071) 《Journal of Electronics(China)》 1997年第1期45-51,共7页
In an optoelectronic 2-D programmable neural network system, optical data need to be transferred and feedback with high speed. This paper presents the design and implementation of the interface circuit and its software.
关键词 Artificial neural network COMPUTER communication Interface SINGLE-chip MICROCONTROLLER
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Weak cation exchange 2 protein chip for detecting differentially expressed brainstem proteins in a rat model of closed traumatic brain injury
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作者 Lin Liang Haiying Gong +2 位作者 Li Zhan Shuwang Yang Yongliang Zhang 《Neural Regeneration Research》 SCIE CAS CSCD 2010年第5期372-377,共6页
BACKGROUND: Studies have reported the combined use of two-dimensional gel electrophoresis and mass spectrometry to detect differentially expressed proteins in the rat brainstem following brain injury. However, the de... BACKGROUND: Studies have reported the combined use of two-dimensional gel electrophoresis and mass spectrometry to detect differentially expressed proteins in the rat brainstem following brain injury. However, the detected differential proteins often exhibit low sensitivity and high relative molecular weight. Although protein chip technology is thought to compensate for these inadequacies, no related studies or results have been reported. OBJECTIVE: To propose the application of weak cation exchange protein chips in combination with mass spectrometry for determining protein expression profiles and characteristics in the brainstem following closed brain injury. DESIGN, TIME AND SETTING: Randomized, controlled, animal experiments utilizing proteomics were performed from June 2007 to December 2008 in the Proteomics Laboratory, Medical College of Chinese People's Armed Police Force. MATERIALS: Weak cation exchange 2 protein chip, Ciphergen Proteinchip System (PBS-IIC). METHODS: A total of 72 rats were randomly assigned to two groups: sham-surgery (n = 12) and injury (n = 60). A closed traumatic brain injury model caused by falling object was replicated in the injury group, which was then subdivided into five subgroups according to different time points after injury: 4, 8, 12, 24, and 48 hours, with 12 rats in each subgroup. In the sham-surgery group, only the skin was removed and the stainless steel pad was fixed to the skull. MAIN OUTCOME MEASURES: The brain injury rats were sacrificed at 4, 8, 12, 24, and 48 hours after injury, respectively, and the control rats were sacrificed at 24 hours. Pathological changes in the brainstem were determined using hematoxylin-eosin staining, and differential protein expression in the brainstem was detected using a weak cation exchange 2 protein chip and protein chip reader. RESULTS: In the sham-surgery group, cells appeared normal. However, in the brain injury group, some brainstem neurons exhibited pyknosis, with reduced numbers of Nissl bodies in the cytoplasm swollen cell bodies and nuclei, irregular staining in the cytoplasm, and decreased numbers of neurons. Results from weak cation exchange 2 protein chip detection demonstrated that, compared with the sham-surgery group, the expression profiles of 2 proteins were altered in the brainstem of the injury group. At 12, 24, and 48 hours after injury, expression was increased (P 〈 0.01 ). The mass charge ratio (M/Z) of 7 862 differentially expressed proteins was greater in the sham-surgery group compared with 12 and 24 hours after injury (P 〈 0.05). CONCLUSION: The combined method of weak cation exchange 2 protein chip and mass spectrometry detected differential protein expression in the brainstem following closed brain injury in the rats, which suggested that closed brain injury induced altered protein expression profiles in the brainstem. 展开更多
关键词 protein chip ion exchange brain injury BRAINSTEM rats PROTEOMICS neural regeneration
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神经拟态类脑计算芯片进展与趋势:以达尔文类脑芯片为例
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作者 金孝飞 马德 潘纲 《计算》 2025年第7期48-57,共10页
传统冯·诺依曼架构面临显著的“存储墙”与“功耗墙”瓶颈问题,而神经拟态类脑计算通过模拟生物神经网络的拓扑结构与信息处理机制、构建存储与计算融合的一体化架构,支持异步事件驱动的稀疏化计算与通信机制,为突破传统计算范式... 传统冯·诺依曼架构面临显著的“存储墙”与“功耗墙”瓶颈问题,而神经拟态类脑计算通过模拟生物神经网络的拓扑结构与信息处理机制、构建存储与计算融合的一体化架构,支持异步事件驱动的稀疏化计算与通信机制,为突破传统计算范式局限、实现高能效通用智能提供了创新性的技术路径。本研究系统梳理了神经拟态类脑计算芯片的技术发展,重点剖析了浙江大学达尔文系列芯片(尤其是达尔文3代)在架构设计层面的创新突破,并展望了该领域的发展趋势。 展开更多
关键词 高能效 神经拟态类脑计算芯片 脉冲神经网络 存算一体 在线学习 达尔文3代
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基于国产AI芯片的目标检测算法优化与部署 被引量:1
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作者 陈思贇 马怀波 +4 位作者 张华君 兰子柠 陈文鑫 胡杰 常胜 《计算机与现代化》 2025年第1期25-29,共5页
目前各类神经网络已经逐步在社会的各个方面得到广泛应用,神经网络模型的性能很大程度上取决于其训练策略的优劣,其落地部署也离不开相应硬件平台的支持,而为了保障当前形势下我国的信息安全和电子信息产业发展,相关国产AI芯片的替代迫... 目前各类神经网络已经逐步在社会的各个方面得到广泛应用,神经网络模型的性能很大程度上取决于其训练策略的优劣,其落地部署也离不开相应硬件平台的支持,而为了保障当前形势下我国的信息安全和电子信息产业发展,相关国产AI芯片的替代迫在眉睫。本文以国产AI芯片替代为出发点,基于全爱QA-200RC开发套件,探究在国产平台上的神经网络算法部署流程,针对特定任务需求进行YOLOv6神经网络训练和主机程序的优化,在通过摄像头进行实时检测的情况下,实现对火箭残骸的目标检测,帧率达30 FPS,mAP_0.5为90.1%,功耗为8.1 W,满足了边缘平台上完成目标检测任务的需求,对促进国产芯片在相关领域的应用具有一定作用。 展开更多
关键词 目标检测 神经网络 模型训练 AI芯片 国产化 硬件平台 PYTHON
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基于改进BP神经网络的PVDF压电薄膜触觉传感器设计与性能验证 被引量:1
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作者 李莉 《电子元件与材料》 北大核心 2025年第10期1176-1184,共9页
随着触觉传感技术的不断发展,压电材料在触觉传感器中的应用引起了广泛关注。当前触觉传感器在复杂环境下面临着识别精度、响应灵敏度和稳定性低等挑战。为此,本研究利用聚偏二氟乙烯(Polyvinylidene Difluoride,PVDF)的压电特性将外部... 随着触觉传感技术的不断发展,压电材料在触觉传感器中的应用引起了广泛关注。当前触觉传感器在复杂环境下面临着识别精度、响应灵敏度和稳定性低等挑战。为此,本研究利用聚偏二氟乙烯(Polyvinylidene Difluoride,PVDF)的压电特性将外部力信号转换为电信号来设计传感器,并利用单片机对触觉传感器收集到的数据进行读取和存储。同时,采用改进反向传播(Back Propagation,BP)神经网络与粒子群优化(Particle Swarm Optimization,PSO)策略相结合,提升信号识别与处理能力。通过多层PVDF结构设计,显著提高了传感器的灵敏度和响应精度。结果显示,分类性能(准确率98.54%,召回率98.13%,F1值97.42%)显著优于对比算法,且传感器在不同粗糙度和硬度物品的最高识别精度分别达到了95%和96%,最大均方根误差仅为0.032。综上所述,基于改进BP的PVDF压电薄膜触觉传感器设计,有效提高了触觉传感器在不同触觉刺激下的响应精度,具有较高的感知灵敏度和稳定性,进一步推动了智能机器人在精密操作和复杂任务中的应用。 展开更多
关键词 改进BP神经网络 PVDF压电薄膜 单片机 触觉传感器 信号处理
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