Dynamical system design for silicon neurons using phase reduction approach

Kazuki Nakada; Keiji Miura; Tetsuya Asai

doi:10.1109/EMBC.2013.6610670

Dynamical system design for silicon neurons using phase reduction approach

Kazuki Nakada, Keiji Miura, Tetsuya Asai

INF - Applied Information Sciences

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

Abstract

In the present paper, we apply a computer-aided phase reduction approach to dynamical system design for silicon neurons (SiNs). Firstly, we briefly review the dynamical system design for SiNs. Secondly, we summarize the phase response properties of circuit models of previous SiNs to clarify design criteria in our approach. From a viewpoint of the phase reduction theory, as a case study, we show how to tune circuit parameters of the resonate-and-fire neuron (RFN) circuit as a hybrid type SiN. Finally, we demonstrate delay-induced synchronization in a silicon spiking neural network that consists of the RFN circuits.

Original language	English
Title of host publication	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Pages	4997-5000
Number of pages	4
DOIs	https://doi.org/10.1109/EMBC.2013.6610670
Publication status	Published - 2013 Oct 31
Event	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan Duration: 2013 Jul 3 → 2013 Jul 7

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Other

Other	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Country/Territory	Japan
City	Osaka
Period	13/7/3 → 13/7/7

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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10.1109/EMBC.2013.6610670

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Nakada, K., Miura, K., & Asai, T. (2013). Dynamical system design for silicon neurons using phase reduction approach. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 (pp. 4997-5000). [6610670] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2013.6610670

Dynamical system design for silicon neurons using phase reduction approach. / Nakada, Kazuki; Miura, Keiji; Asai, Tetsuya.

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. 2013. p. 4997-5000 6610670 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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

Nakada, K, Miura, K & Asai, T 2013, Dynamical system design for silicon neurons using phase reduction approach. in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013., 6610670, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 4997-5000, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 13/7/3. https://doi.org/10.1109/EMBC.2013.6610670

Nakada K, Miura K, Asai T. Dynamical system design for silicon neurons using phase reduction approach. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. 2013. p. 4997-5000. 6610670. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2013.6610670

Nakada, Kazuki ; Miura, Keiji ; Asai, Tetsuya. / Dynamical system design for silicon neurons using phase reduction approach. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. 2013. pp. 4997-5000 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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Dynamical system design for silicon neurons using phase reduction approach

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