An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation

Yuki Tamura; Satoshi Moriya; Tatsuki Kato; Masao Sakuraba; Yoshihiko Horio; Shigeo Sato

doi:10.1007/978-3-030-30487-4_55

An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation

Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Yoshihiko Horio, Shigeo Sato

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The Izhikevich neuron model has attracted attention because it can reproduce various neural activities although it is described by simple differential equations and is expected to be applied to engineering. Among a few MOS circuits inspired by the Izhikevich model, the circuit proposed by Wijekoon and Dudek in 2008 exhibits the simplest structure, and it is practical. However, the power supply voltage of the circuit is 3.3 V. To implement such a neuron MOS circuit using state-of-the-art semiconductor manufacturing process, we must redesign the circuit to operate it with a lower supply voltage. Thus, we analyzed their circuit operation by SPICE simulation assuming a 1.0 V supply voltage and found that the bias voltage ranges to generate specific spike activities were limited. In addition, we clarified the discrepancies between the Izhikevich neuron model and the original circuit. In this study, we propose a new Izhikevich model neuron circuit based on these findings and investigate the circuit dynamics by null-cline analysis and SPICE simulation. The dynamics of the proposed MOS circuit are close to those of the Izhikevich model and various spikes are generated. Furthermore, we successfully enlarged the bias voltage range for specific spikes.

Original language	English
Title of host publication	Artificial Neural Networks and Machine Learning – ICANN 2019
Subtitle of host publication	Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings
Editors	Igor V. Tetko, Pavel Karpov, Fabian Theis, Vera Kurková
Publisher	Springer-Verlag
Pages	718-723
Number of pages	6
ISBN (Print)	9783030304867
DOIs	https://doi.org/10.1007/978-3-030-30487-4_55
Publication status	Published - 2019 Jan 1
Event	28th International Conference on Artificial Neural Networks, ICANN 2019 - Munich, Germany Duration: 2019 Sep 17 → 2019 Sep 19

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11727 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	28th International Conference on Artificial Neural Networks, ICANN 2019
Country	Germany
City	Munich
Period	19/9/17 → 19/9/19

Keywords

Analog neuron circuit
Izhikevich neuron model
Null-cline analysis
SPICE simulation

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-30487-4_55

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Tamura, Y., Moriya, S., Kato, T., Sakuraba, M., Horio, Y., & Sato, S. (2019). An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation. In I. V. Tetko, P. Karpov, F. Theis, & V. Kurková (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings (pp. 718-723). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11727 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-30487-4_55

An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation. / Tamura, Yuki; Moriya, Satoshi; Kato, Tatsuki; Sakuraba, Masao ; Horio, Yoshihiko ; Sato, Shigeo.

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. ed. / Igor V. Tetko; Pavel Karpov; Fabian Theis; Vera Kurková. Springer-Verlag, 2019. p. 718-723 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11727 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tamura, Y, Moriya, S, Kato, T, Sakuraba, M , Horio, Y & Sato, S 2019, An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation. in IV Tetko, P Karpov, F Theis & V Kurková (eds), Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11727 LNCS, Springer-Verlag, pp. 718-723, 28th International Conference on Artificial Neural Networks, ICANN 2019, Munich, Germany, 19/9/17. https://doi.org/10.1007/978-3-030-30487-4_55

Tamura Y, Moriya S, Kato T, Sakuraba M , Horio Y , Sato S. An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation. In Tetko IV, Karpov P, Theis F, Kurková V, editors, Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. Springer-Verlag. 2019. p. 718-723. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-30487-4_55

Tamura, Yuki ; Moriya, Satoshi ; Kato, Tatsuki ; Sakuraba, Masao ; Horio, Yoshihiko ; Sato, Shigeo. / An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation. Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. editor / Igor V. Tetko ; Pavel Karpov ; Fabian Theis ; Vera Kurková. Springer-Verlag, 2019. pp. 718-723 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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