Premium
A Study on Cell Body Model for Highly Integrated Circuits
Author(s) -
OKUYAMA ATSUSHI,
SAEKI KATSUTOSHI,
SEKINE YOSHIFUMI
Publication year - 2017
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11928
Subject(s) - artificial neural network , computer science , electronic circuit , nmos logic , integrated circuit , electronic engineering , function (biology) , artificial intelligence , biological system , engineering , electrical engineering , transistor , voltage , operating system , evolutionary biology , biology
SUMMARY A number of recent studies on neural networks (NNs) 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 NN of a living body is very large in scale. Therefore, when we analyze the dynamics using the hardware NN 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.