基于多模式光电子电阻式内存阵列的神经形态视觉系统的完整硬件实现,用于多功能图像处理
Guangdong Zhou1, Jie Li2, Qunliang Song3
1College of Artificial Intelligence, Chongqing Key Laboratory of Brain-inspired Computing and Intelligent Chips, Key Laboratory of Luminescence Analysis and Molecular Sensors (Ministry of Education), Southwest University, Chongqing, 400715, China.
Nature communications
|December 20, 2023
概括
研究人员开发了一种新型的多式电阻随机访问存储器 (RRAM) 设备,使用修饰的丝纤维蛋白蛋白. 这一突破为先进的人工视觉系统提供了高效的传感器内和近传感器视觉处理.
科学领域:
- 材料科学与工程 材料科学与工程
- 神经科学和神经形态计算的神经科学和神经形态计算
- 电气工程和计算机科学
背景情况:
- 传感器内和近传感器计算对于下一代低功耗传感处理至关重要.
- 现有的神经形态视觉系统缺乏高密度的多功能设备来进行层次模拟.
- 需要完全硬件实现的系统,具有多功能图像处理能力.
研究的目的:
- 为了展示一个多式,多功能电阻式随机存储器 (RRAM) 设备阵列.
- 为了实现一个完全硬件实现的人工视觉系统,具有多功能图像处理功能.
- 为了利用改性丝纤维蛋白 (MSFP) 进行先进的神经形态应用.
主要方法:
- 使用改性丝纤维蛋白 (MSFP) 制造一个电阻随机存储器 (RRAM) 设备阵列.
- 在光电子RRAM (ORRAM) 模式 (光导体内存) 和电RRAM (ERRAM) 模式 (模拟电阻切换) 中对设备的表征.
- 实现一个全硬件人工视觉系统,利用基于MSFP的RRAM阵列进行传感器内和近传感器处理.
主要成果:
- 展示了一种基于MSFP的新型多模式多功能RRAM设备阵列.
- 设备阵列展示了独特的负和正光导体内存 (ORRAM) 和模拟电阻切换 (ERRAM).
- 实现了人工视觉系统的第一个完整硬件实现,具有多样化的传感器 (图像预处理) 和近传感器 (图像识别) 功能.
结论:
- 基于MSFP的RRAM阵列为高密度,低功耗的神经形态视觉系统提供了一个有前途的平台.
- 这项技术显著提高了集成密度,简化了电路设计和制造的复杂性.
- 展示的系统为视网膜和视觉皮层的高效,层次化的仿真铺平了道路.
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