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

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

Abstract

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.

Original language	English
Title of host publication	Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings
Publisher	Springer Verlag
Pages	39-48
Number of pages	10
ISBN (Print)	3540464794, 9783540464792
DOIs	https://doi.org/10.1007/11893028_5
Publication status	Published - 2006
Externally published	Yes
Event	13th International Conference on Neural Information Processing, ICONIP 2006 - Hong Kong, China Duration: 2006 Oct 3 → 2006 Oct 6

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4232 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

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

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11893028_5

Cite this

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).

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

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