Study on Simplification of Processing Elements in Neural Networks using Circuit Simulation

被引：0

作者：

Yokoyama, Tomoharu ^{[1
]}

Nakamura, Nao ^{[1
]}

Nakanishi, Hiroki ^{[1
]}

Watada, Yuki ^{[1
]}

Matsuda, Tokiyoshi ^{[1
]}

Kimura, Mutsumi ^{[1
]}

机构：

[1] Ryukoku Univ, Dept Elect & Informat, Otsu, Shiga 5202194, Japan

来源：

2016 IEEE INTERNATIONAL MEETING FOR FUTURE OF ELECTRON DEVICES, KANSAI (IMFEDK) | 2016年

关键词：

simplification; processing element; neural network; circuit simulation; ARCHITECTURE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We are developing cellular neural networks using thin-film transistors (TFTs). Although simplification of the processing elements such as neurons and synapses is also needed for the cellular neural network, it is difficult and time-consuming to fabricate and evaluate actual devices. Therefore, we are studying the simplification of the processing elements in the neural networks by using circuit simulation. We confirmed that the neuron can be realized only using a 2-inverter and 2 switch circuit, and the synapse can be realized only using a resister. These results indicate a future possibility for ultra-large scale integrated brain chips for artificial intelligences.

引用

页码：78 / 79

页数：2

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