一个纳米级的双晶电阻器用于振荡神经网络
Seong-Yun Yun1, Joon-Kyu Han2, Yang-Kyu Choi1
1School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Nano letters
|January 23, 2024
概括
这项研究介绍了基于CMOS的双电istor振荡器,用于大脑启发的神经网络. 合振荡器同步,使得应用程序,如边缘检测在低功耗,紧的电子系统.
科学领域:
- 电子 电子 电子 电子 电子 电子 电子
- 神经科学是一个神经科学.
- 计算机工程 计算机工程
背景情况:
- 振荡神经网络 (ONN) 模仿大脑神经元的相互作用.
- 传统的ONN往往缺乏CMOS兼容性和功率效率.
研究的目的:
- 使用新的双晶振荡器演示完全基于CMOS的振荡神经网络.
- 为了研究合振荡特征和这些比里拉器的潜在应用.
主要方法:
- 一个基于CMOS的双可变电阻 (双电istor) 振荡器的制造.
- 实验调查两个合的比里拉特,观察180度相位同步.
- 使用ONN的相差实现边缘检测和顶点着色.
主要成果:
- 双晶体管振荡器通过单个晶体管锁产生尖峰状的振荡电压信号.
- 同步合比里拉器具有180°的相差,适用于ONN应用.
- 使用拟议的ONN.成功演示了边缘检测和顶点着色.
结论:
- 完全基于CMOS的双电阻振荡器为ONN提供了低功耗,高度兼容和紧的解决方案.
- 同步合的比里拉特系统显示了神经形态计算和信号处理的前景.
- 这项工作促进了人工神经网络高效硬件的开发.
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