Novel Architecture for Cellular Neural Network Suitable for High-Density Integration of Electron Devices-Learning of Multiple Logics
We will propose a novel architecture for a cellular neural network suitable for high-density integration of electron devices. A neuron consists of only eight transistors, and a synapse consists of just only one transistor. We fabricated a cellular neural network using thin-film devices. Particularly in this time, we confirmed that our neural network can learn multiple logics even in a small-scale neural network. We think that this result indicates that our proposal has a big potential for future electronics using neural networks.
KeywordsCellular neural network High-density integration Electron device Learning Multiple logics
We thank Prof. Hakaru Tamukoh of Kyushu Institute of Technology and Prof. Yasuhiko Nakashima of Nara Institute of Science and Technology. This research is partially supported by a research project of the Joint Research Center for Science and Technology at Ryukoku University and grant from the High-Tech Research Center Program for private universities from the Ministry of Education, Culture, Sports, Science and Technology (MEXT).
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