Self-organizing rhythmic patterns with spatio-temporal spikes in class i and class II neural networks

Ryosuke Hosaka; Tohru Ikeguchi; Kazuyuki Aihara

doi:10.1007/11893028_5

Self-organizing rhythmic patterns with spatio-temporal spikes in class i and class II neural networks

Ryosuke Hosaka, Tohru Ikeguchi, Kazuyuki Aihara

研究成果: Conference contribution

抄録

Regularly spiking neurons are classified into two categories, Class I and Class 11, by their firing properties for constant inputs. To investigate how the firing properties of single neurons affect to ensemble rhythmic activities in neural networks, we constructed different types of neural networks whose excitatory neurons are the Class I neurons or the Class II neurons. The networks were driven by random inputs and developed with STDP learning. As a result, the Class I and the Class II neural networks generate different types of rhythmic activities: the Class I neural network generates slow rhythmic activities, and the Class II neural network generates fast rhythmic activities.

本文言語	English
ホスト出版物のタイトル	Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings
出版社	Springer Verlag
ページ	39-48
ページ数	10
ISBN（印刷版）	3540464794, 9783540464792
DOI	https://doi.org/10.1007/11893028_5
出版ステータス	Published - 2006
外部発表	はい
イベント	13th International Conference on Neural Information Processing, ICONIP 2006 - Hong Kong, China 継続期間: 2006 10月 3 → 2006 10月 6

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	4232 LNCS
ISSN（印刷版）	0302-9743
ISSN（電子版）	1611-3349

Conference

Conference	13th International Conference on Neural Information Processing, ICONIP 2006
国/地域	China
City	Hong Kong
Period	06/10/3 → 06/10/6

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

10.1007/11893028_5

他のファイルとリンク

引用スタイル

Hosaka, R., Ikeguchi, T., & Aihara, K. (2006). Self-organizing rhythmic patterns with spatio-temporal spikes in class i and class II neural networks. In Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings (pp. 39-48). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4232 LNCS). Springer Verlag. https://doi.org/10.1007/11893028_5

Self-organizing rhythmic patterns with spatio-temporal spikes in class i and class II neural networks. / Hosaka, Ryosuke; Ikeguchi, Tohru; Aihara, Kazuyuki.
Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings. Springer Verlag, 2006. p. 39-48 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4232 LNCS).

研究成果: Conference contribution

Hosaka, R, Ikeguchi, T & Aihara, K 2006, Self-organizing rhythmic patterns with spatio-temporal spikes in class i and class II neural networks. in Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4232 LNCS, Springer Verlag, pp. 39-48, 13th International Conference on Neural Information Processing, ICONIP 2006, Hong Kong, China, 06/10/3. https://doi.org/10.1007/11893028_5

Hosaka R, Ikeguchi T, Aihara K. Self-organizing rhythmic patterns with spatio-temporal spikes in class i and class II neural networks. In Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings. Springer Verlag. 2006. p. 39-48. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11893028_5

Hosaka, Ryosuke ; Ikeguchi, Tohru ; Aihara, Kazuyuki. / Self-organizing rhythmic patterns with spatio-temporal spikes in class i and class II neural networks. Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings. Springer Verlag, 2006. pp. 39-48 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Self-organizing rhythmic patterns with spatio-temporal spikes in class i and class II neural networks

抄録

出版物シリーズ

Conference

ASJC Scopus subject areas

文献へのアクセス

他のファイルとリンク

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