電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<電気回路・電子回路>
高集積化のための細胞体モデルに対する検討
奥山 敦司佐伯 勝敏関根 好文
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2016 年 136 巻 1 号 p. 16-21

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A number of recent studies on neural networks have been conducted with the purpose of applying engineering to the brain function. One approach which focuses on the dynamics of the living organism, various Artificial Neural Networks (ANNs) has been proposed. However, the neural network of a living body is very large in scale. Therefore, when we analyze the dynamics using the hardware neural network model, the number of devices and the circuit size should be smaller.  In this paper, we aim to reduce the area of a cell body model, and look into the cell body model made up of only NMOS. As a result, it is clearly shown that the packaging density of the proposed model can reduce the size of a traditional model by more than half.
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