基于单电子器件的细胞神经网络实现及应用研究

利用单电子晶体管和互补型金属氧化物半导体场效应晶体管的混合结构所具有的负微分电阻特性实现了细胞神经网络(CNN)，设计构成了CNN的细胞体电路、A模板电路和B模板电路，并将构成的CNN用于图像处理应用研究中.仿真结果表明，所设计的硬件电路具有结构简单、功耗低、响应速度快等特点，可用于构成各种规模的CNN，进一步提高集成电路的集成度. 关键词： 单电子晶体管 细胞神经网络 负微分电阻

Implementation and application of cellular neural networks based on single electron device

This paper realizes cellular neural networks using the characteristic of negative differential resistance of hybrid single electron transistor and complementary metallic oxide semiconductor field effect transistor structure. The main building blocks consisting of cell core circuit, A and B template circuits are designed. Then a cellular neural network (CNN) is built and its application in image processing is studied. The computer simulation shows that the designed circuits are suitable for CNN implementation owing to its simple structure, low power dissipation and fast response. It could be used to form CNN of various scales so as to further increase the density of integrated circuits.