基于端到端SNN嵌入图像信号增强的10000推理/s仿生脉冲视觉芯片

IF 4.6 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal of Solid-state Circuits Pub Date : 2025-07-08 DOI:10.1109/jssc.2025.3583310

Xu Yang, Fuming Lei, Na Tian, Cong Shi, Zhe Wang, Shuangming Yu, Runjiang Dou, Peng Feng, Nan Qi, Zhongming Wei, Jian Liu, Kaiyou Wang, Nanjian Wu, Liyuan Liu

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A 10 000-Inference/s Bio-Inspired Spiking Vision Chip Based on an End-to-End SNN Embedding Image Signal Enhancement

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来源期刊

IEEE Journal of Solid-state Circuits 工程技术-工程：电子与电气

CiteScore

11.00

自引率

20.40%

发文量

351

审稿时长

3-6 weeks

期刊介绍： The IEEE Journal of Solid-State Circuits publishes papers each month in the broad area of solid-state circuits with particular emphasis on transistor-level design of integrated circuits. It also provides coverage of topics such as circuits modeling, technology, systems design, layout, and testing that relate directly to IC design. Integrated circuits and VLSI are of principal interest; material related to discrete circuit design is seldom published. Experimental verification is strongly encouraged.