Basic characteristics of hardware neuron model based on CMOS negative resistance

Realization of post-inhibitory rebound firing and its application

Shinichiro Kanoh, Hideki Kumagai, Ryoko Futami, Nozomu Hoshimiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages579-584
Number of pages6
Volume2
ISBN (Electronic)0780358716, 9780780358713
DOIs
Publication statusPublished - 1999 Jan 1
Externally publishedYes
Event6th International Conference on Neural Information Processing, ICONIP 1999 - Perth, Australia
Duration: 1999 Nov 161999 Nov 20

Other

Other6th International Conference on Neural Information Processing, ICONIP 1999
CountryAustralia
CityPerth
Period99/11/1699/11/20

Fingerprint

Negative resistance
Neurons
Hardware
Neuron
Rebound

ASJC Scopus subject areas

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

Cite this

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. In ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings (Vol. 2, pp. 579-584). [845659] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.1999.845659

Basic characteristics of hardware neuron model based on CMOS negative resistance : Realization of post-inhibitory rebound firing and its application. / Kanoh, Shinichiro; Kumagai, Hideki; Futami, Ryoko; Hoshimiya, Nozomu.

ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings. Vol. 2 Institute of Electrical and Electronics Engineers Inc., 1999. p. 579-584 845659.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. in ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings. vol. 2, 845659, Institute of Electrical and Electronics Engineers Inc., pp. 579-584, 6th International Conference on Neural Information Processing, ICONIP 1999, Perth, Australia, 99/11/16. https://doi.org/10.1109/ICONIP.1999.845659
Kanoh S, Kumagai H, Futami R, Hoshimiya N. Basic characteristics of hardware neuron model based on CMOS negative resistance: Realization of post-inhibitory rebound firing and its application. In ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings. Vol. 2. Institute of Electrical and Electronics Engineers Inc. 1999. p. 579-584. 845659 https://doi.org/10.1109/ICONIP.1999.845659
Kanoh, Shinichiro ; Kumagai, Hideki ; Futami, Ryoko ; Hoshimiya, Nozomu. / 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. Vol. 2 Institute of Electrical and Electronics Engineers Inc., 1999. pp. 579-584
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