A Visual-Cortex-Mimetic Tiny Neuromorphic Vision Processor Based on Reconfigurable Cortical Neuron Unit
文献类型：期刊论文
| 作者 | Chen, Mingju1; He, Junxian2; Wang, Haibing2; Wang, Tengxiao2; Gao, Haoran2; Liu, Liyuan3; Wang, Ying4; Shi, Cong2 |
| 刊名 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
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| 出版日期 | 2025-07-01 |
| 卷号 | 72期号:7页码:943-947 |
| 关键词 | Neurons Neuromorphics Visualization Feature extraction Data models Image edge detection Brain modeling Retina Costs Synapses Neuromorphic processor spiking neural network visual cortex on-chip learning STDP |
| ISSN号 | 1549-7747 |
| DOI | 10.1109/TCSII.2025.3571598 |
| 英文摘要 | Edge visual systems demand high energy-efficiency vision processors like neuromorphic hardware leveraging spike-based computations. But their disability of directly interacting with non-spike information in the real world requests additional components to execute image pre-processing, spike encoding and decoding, severely increasing overall system cost, energy and latency. To overcome such drawback, this brief proposes a tiny neuromorphic vision processor which emulates functional regions along the ventral pathway in the visual cortex. It performs image pre-processing, spike encoding, spike-based feature extraction and classification, spike decoding as well as decision making on a single chip. To reduce hardware resources, our processor builds on a reconfigurable cortical neuron (RCN) unit, which runs different neuron models for different visual cortex regions in a time-multiplexing fashion. It also embeds biological learning circuits to better adapt the processor to dynamic edge scenarios. Our neuromorphic processor was prototyped on a very-low-cost Xilinx Zynq-7010 device. On the MNIST dataset, it exhibited a real-time inference speed of 696 frame/s covering image pre-processing to final decision and a high on-chip learning accuracy of 97.12%, while only delivering a power consumption as low as 118 mW. |
| 资助项目 | National Natural Science Foundation of China[62334008] ; National Natural Science Foundation of China[92464103] ; Opening Fund of Artificial Intelligence Key Laboratory of Sichuan Province[2023RYY07] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001522054500015 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/42016]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Shi, Cong |
| 作者单位 | 1.Sichuan Univ Sci & Engn, Artificial Intelligence Key Lab Sichuan Prov, Yibin 643000, Sichuan, Peoples R China 2.Chongqing Univ, Sch Microelect & Commun Engn, Chongqing 400044, Peoples R China 3.Chinese Acad Sci, Inst Semicond, State Key Lab Superlatt & Microstruct, Beijing 100083, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Mingju,He, Junxian,Wang, Haibing,et al. A Visual-Cortex-Mimetic Tiny Neuromorphic Vision Processor Based on Reconfigurable Cortical Neuron Unit[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS,2025,72(7):943-947. |
| APA | Chen, Mingju.,He, Junxian.,Wang, Haibing.,Wang, Tengxiao.,Gao, Haoran.,...&Shi, Cong.(2025).A Visual-Cortex-Mimetic Tiny Neuromorphic Vision Processor Based on Reconfigurable Cortical Neuron Unit.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS,72(7),943-947. |
| MLA | Chen, Mingju,et al."A Visual-Cortex-Mimetic Tiny Neuromorphic Vision Processor Based on Reconfigurable Cortical Neuron Unit".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 72.7(2025):943-947. |
入库方式： OAI收割
来源：计算技术研究所
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