Neuromorphic Hardware Using Simplified Elements and Thin-Film Semiconductor Devices as Synapse Elements - Simulation of Hopfield and Cellular Neural Network -

Tomoya Kameda, Mutsumi Kimura, Yasuhiko Nakashima. Neuromorphic Hardware Using Simplified Elements and Thin-Film Semiconductor Devices as Synapse Elements - Simulation of Hopfield and Cellular Neural Network -. In Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy, editors, Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part VI. Volume 10639 of Lecture Notes in Computer Science, pages 769-776, Springer, 2017. [doi]

@inproceedings{KamedaKN17,
  title = {Neuromorphic Hardware Using Simplified Elements and Thin-Film Semiconductor Devices as Synapse Elements - Simulation of Hopfield and Cellular Neural Network -},
  author = {Tomoya Kameda and Mutsumi Kimura and Yasuhiko Nakashima},
  year = {2017},
  doi = {10.1007/978-3-319-70136-3_81},
  url = {https://doi.org/10.1007/978-3-319-70136-3_81},
  researchr = {https://researchr.org/publication/KamedaKN17},
  cites = {0},
  citedby = {0},
  pages = {769-776},
  booktitle = {Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part VI},
  editor = {Derong Liu and Shengli Xie and Yuanqing Li and Dongbin Zhao and El-Sayed M. El-Alfy},
  volume = {10639},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-70136-3},
}