Basic characteristics of hardware neuron model based on CMOS negative resistance: Realization of post-inhibitory rebound firing and its application

Shin'ichiro Kanoh, Hideki Kumagai, Ryoko Futami, Nozomu Hoshimiya

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

We introduced and evaluated the hardware neuron model with CMOS configuration which showed negative resistance characteristics. It was shown that this model had similar properties to those of the biological neuron, and that the post-inhibitory rebound firing (PIR firing) could be reproduced by this model. It was also found that the neural oscillator, consisting of a pair of neurons with inhibitory mutual connections, could be constructed by this hardware neuron model with the help of its PIR firing property. These results show the possibility of designing a new type of neuro-chip inspired by biological neural systems.

元の言語English
ホスト出版物のタイトルICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ページ579-584
ページ数6
ISBN(電子版)0780358716, 9780780358713
DOI
出版物ステータスPublished - 1999 1 1
イベント6th International Conference on Neural Information Processing, ICONIP 1999 - Perth, Australia
継続期間: 1999 11 161999 11 20

出版物シリーズ

名前ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings
2

Other

Other6th International Conference on Neural Information Processing, ICONIP 1999
Australia
Perth
期間99/11/1699/11/20

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Statistics, Probability and Uncertainty

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  • これを引用

    Kanoh, S., Kumagai, H., Futami, R., & Hoshimiya, N. (1999). Basic characteristics of hardware neuron model based on CMOS negative resistance: Realization of post-inhibitory rebound firing and its application. : ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings (pp. 579-584). [845659] (ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings; 巻数 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.1999.845659