Manipulating the expression of synaptic plasticity in neuromorphic devices provides essential foundations for developing intelligent,adaptive hardware systems.In recent years,advances have shifted from static emulatio...Manipulating the expression of synaptic plasticity in neuromorphic devices provides essential foundations for developing intelligent,adaptive hardware systems.In recent years,advances have shifted from static emulation toward dynamic,network-oriented plasticity design,offering enhanced computational accuracy and functional relevance.This review highlights how diversified plasticity behaviors,including multilevel long-term potentiation and depression for spatial models,tunable short-term memory for temporal models,as well as wavelength-selective response,excitatory and inhibitory synergy,and adaptive threshold modulation,collectively support key tasks such as stable learning,temporal processing,and context-aware adaptation.Beyond behavioral innovations,strategies such as multifunctional single-device integration,multimodal fusion,and heterogeneous system assembly enable compact,energy-efficient,and versatile neuromorphic architectures.Recent developments at the array level further demonstrate high-performance scalability and system-level applicability.Despite notable progress,current modulation strategies remain constrained in flexibility,diversity,and large-scale coordination.Future research should focus on enriching the behavioral repertoire of plasticity,advancing crossmodal convergence,and improving array-level uniformity,paving the way toward deployable,high-efficiency neuromorphic intelligence.展开更多
Neuroscience is the ultimate frontier in our quest for a comprehensive understanding of human behavior. Since its launch in 2009, the Human Connectome Project has emerged as a pioneering force, making heroic strides i...Neuroscience is the ultimate frontier in our quest for a comprehensive understanding of human behavior. Since its launch in 2009, the Human Connectome Project has emerged as a pioneering force, making heroic strides in elucidating the intricate correlation between structural information and the functioning of the human brain.展开更多
基于Web of Science和中国知网数据库,使用知识图谱可视化软件CiteSpace对国外1986年至2023年1101篇文献与国内1997年至2023年203篇文献进行计量分析与可视化呈现,对国内外神经伦理学发展情况进行对比分析。研究发现:在规模分布维度,该...基于Web of Science和中国知网数据库,使用知识图谱可视化软件CiteSpace对国外1986年至2023年1101篇文献与国内1997年至2023年203篇文献进行计量分析与可视化呈现,对国内外神经伦理学发展情况进行对比分析。研究发现:在规模分布维度,该领域文献数量呈持续上升趋势,国外研究合作广泛,国内研究相对较少且多为独立研究;在热点前沿维度,国外研究核心话题包括“道德判断与个体情感”“神经技术与疾病治疗”“增强技术与神经增强”“技术融合与大数据”,国内研究的核心话题为“伦理学的神经科学”“道德增强与自由”“脑机接口与未来”;在发展演进维度,国外研究经历了探索建立、发展整合、创新突破三个阶段,国内研究则经历了起步、探索、深入发展三个阶段。展开更多
基金funded by National Natural Science Foundation of China(No.62474144,62501489,T2222025,and 62174053)Basic Research Program of Jiangsu(No.BK20250465)+4 种基金Centrally Guided Local Science and Technology Development Fund(2024ZYZX4025)Suzhou Industrial Park MEMS Advanced High-Performance Sensor Chip Technology Transfer Platform(CXZ2024201)Jiangsu Data Science and Cognitive Computational Engineering Research CentreXJTLU AI University Research CentreXJTLU Advanced Materials Research Center。
文摘Manipulating the expression of synaptic plasticity in neuromorphic devices provides essential foundations for developing intelligent,adaptive hardware systems.In recent years,advances have shifted from static emulation toward dynamic,network-oriented plasticity design,offering enhanced computational accuracy and functional relevance.This review highlights how diversified plasticity behaviors,including multilevel long-term potentiation and depression for spatial models,tunable short-term memory for temporal models,as well as wavelength-selective response,excitatory and inhibitory synergy,and adaptive threshold modulation,collectively support key tasks such as stable learning,temporal processing,and context-aware adaptation.Beyond behavioral innovations,strategies such as multifunctional single-device integration,multimodal fusion,and heterogeneous system assembly enable compact,energy-efficient,and versatile neuromorphic architectures.Recent developments at the array level further demonstrate high-performance scalability and system-level applicability.Despite notable progress,current modulation strategies remain constrained in flexibility,diversity,and large-scale coordination.Future research should focus on enriching the behavioral repertoire of plasticity,advancing crossmodal convergence,and improving array-level uniformity,paving the way toward deployable,high-efficiency neuromorphic intelligence.
文摘Neuroscience is the ultimate frontier in our quest for a comprehensive understanding of human behavior. Since its launch in 2009, the Human Connectome Project has emerged as a pioneering force, making heroic strides in elucidating the intricate correlation between structural information and the functioning of the human brain.
文摘基于Web of Science和中国知网数据库,使用知识图谱可视化软件CiteSpace对国外1986年至2023年1101篇文献与国内1997年至2023年203篇文献进行计量分析与可视化呈现,对国内外神经伦理学发展情况进行对比分析。研究发现:在规模分布维度,该领域文献数量呈持续上升趋势,国外研究合作广泛,国内研究相对较少且多为独立研究;在热点前沿维度,国外研究核心话题包括“道德判断与个体情感”“神经技术与疾病治疗”“增强技术与神经增强”“技术融合与大数据”,国内研究的核心话题为“伦理学的神经科学”“道德增强与自由”“脑机接口与未来”;在发展演进维度,国外研究经历了探索建立、发展整合、创新突破三个阶段,国内研究则经历了起步、探索、深入发展三个阶段。
