A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model

Shigeo Sato; Satoshi Moriya; Yuka Kanke; Hideaki Yamamoto; Yoshihiko Horio; Yasushi Yuminaka; Jordi Madrenas

doi:10.1007/978-3-030-86383-8_14

A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model

Shigeo Sato, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto, Yoshihiko Horio, Yasushi Yuminaka, Jordi Madrenas

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Low-power neuromorphic hardware is indispensable for edge computing. In this study, we report the simulation results of a spiking neuron circuit. The circuit based on the Izhikevich neuron model is designed to reproduce various types of spikes and is optimized for low-voltage operation. Simulation results indicate that the proposed circuit successfully operates in the subthreshold region and can be utilized for reservoir computing.

本文言語	English
ホスト出版物のタイトル	Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings
編集者	Igor Farkaš, Paolo Masulli, Sebastian Otte, Stefan Wermter
出版社	Springer Science and Business Media Deutschland GmbH
ページ	177-181
ページ数	5
ISBN（印刷版）	9783030863821
DOI	https://doi.org/10.1007/978-3-030-86383-8_14
出版ステータス	Published - 2021
イベント	30th International Conference on Artificial Neural Networks, ICANN 2021 - Virtual, Online 継続期間: 2021 9月 14 → 2021 9月 17

出版物シリーズ

名前	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
巻	12895 LNCS
ISSN（印刷版）	0302-9743
ISSN（電子版）	1611-3349

Conference

Conference	30th International Conference on Artificial Neural Networks, ICANN 2021
City	Virtual, Online
Period	21/9/14 → 21/9/17

ASJC Scopus subject areas

理論的コンピュータサイエンス
コンピュータサイエンス（全般）

文献へのアクセス

10.1007/978-3-030-86383-8_14

他のファイルとリンク

引用スタイル

Sato, S., Moriya, S., Kanke, Y., Yamamoto, H., Horio, Y., Yuminaka, Y., & Madrenas, J. (2021). A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model. In I. Farkaš, P. Masulli, S. Otte, & S. Wermter (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings (pp. 177-181). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12895 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86383-8_14

A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model. / Sato, Shigeo ; Moriya, Satoshi; Kanke, Yuka その他.
Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings. ed. / Igor Farkaš; Paolo Masulli; Sebastian Otte; Stefan Wermter. Springer Science and Business Media Deutschland GmbH, 2021. p. 177-181 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12895 LNCS).

研究成果: Conference contribution

Sato, S , Moriya, S, Kanke, Y, Yamamoto, H , Horio, Y, Yuminaka, Y & Madrenas, J 2021, A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model. in I Farkaš, P Masulli, S Otte & S Wermter (eds), Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12895 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 177-181, 30th International Conference on Artificial Neural Networks, ICANN 2021, Virtual, Online, 21/9/14. https://doi.org/10.1007/978-3-030-86383-8_14

Sato S , Moriya S, Kanke Y, Yamamoto H , Horio Y, Yuminaka Y その他. A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model. In Farkaš I, Masulli P, Otte S, Wermter S, editors, Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 177-181. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-86383-8_14

Sato, Shigeo ; Moriya, Satoshi ; Kanke, Yuka その他. / A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model. Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings. editor / Igor Farkaš ; Paolo Masulli ; Sebastian Otte ; Stefan Wermter. Springer Science and Business Media Deutschland GmbH, 2021. pp. 177-181 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Low-power neuromorphic hardware is indispensable for edge computing. In this study, we report the simulation results of a spiking neuron circuit. The circuit based on the Izhikevich neuron model is designed to reproduce various types of spikes and is optimized for low-voltage operation. Simulation results indicate that the proposed circuit successfully operates in the subthreshold region and can be utilized for reservoir computing.",

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A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model

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出版物シリーズ

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