Summary
International Symposium on Nonlinear Theory and its Applications
2017
Session Number:A1L-E
Session:
Number:A1L-E-5
Brain-Like Integrated System Using Thin-Film Devices
Mutsumi Kimura, Tomoya Kameda, Yasuhiko Nakashima,
pp.95-98
Publication Date:2017/12/4
Online ISSN:2188-5079
Summary:
We are investigating ``brain-type integrated system'', namely, neural network built only by hardware, which can be compact, low power, robust, and integrated on everything. Until now, we have succeeded in hardware simplification and are trying to utilize thin-film devices for the neuromorphic application because they can be fabricated using low cost fabrication. In this study, we made a sandwiched structure of Ti/a-IGZO/Ti and found that the conductance decreases as the time goes by, which is available to modified Hebbian rule, a learning rule we proposed for our network. We modeled the conductance degradation of the a-IGZO thin film, developed a simulator, and obtained the learning results. We would like to develop brain-type integrated system with three-dimensional structure utilizing the thin-film devices in future.