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Single-Electron Devices for Hopfield Neural Network  

Yu, Yun-Seop (Department of Information & Control Engineering and Electronic Technology Institute, Hankyong National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SD / v.45, no.6, 2008 , pp. 16-21 More about this Journal
Abstract
This paper introduces a new type of Hopfield neural network using newly developed single-electron devices. In the electrical model of the Hopfield neural network, a single-electron synapse, used as a voltage(or current)-variable resistor, and two stages of single-electron inverters, used as a nonlinear activation function, are simulated with a single-electron circuit simulator using Monte-Carlo method to verily their operation.
Keywords
Neural network; Single-electron transistor; Single-electron trap; Hopfield network;
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