Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex

Y. Yamaguchi; K. Ishimura; M. Wada

doi:10.1109/ICONIP.2002.1198121

Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex

Y. Yamaguchi, K. Ishimura, M. Wada

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

2 Citations (Scopus)

Abstract

We have proposed a chaotic pulse coupled neural network (CPCNN) to investigate possible roles of high-dimensional chaotic dynamics in information coding using synchronous oscillation. In the present paper, some basic characteristics of CPCNN are examined. On the one hand, in a two-neuron system, CPCNN have rather simple condition for the persistence of synchronization despite of its chaotic dynamics. On the other, in a one-dimensional lattice system of homogeneous neurons, it can exhibit complex and various dynamics such as dynamical clustering, traveling waves and spatio-temporal intermittency.

Original language	English
Title of host publication	ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing
Subtitle of host publication	Computational Intelligence for the E-Age
Editors	Lipo Wang, Kunihiko Fukushima, Jagath C. Rajapakse, Soo-Young Lee, Xin Yao
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	571-575
Number of pages	5
ISBN (Electronic)	9810475241, 9789810475246
DOIs	https://doi.org/10.1109/ICONIP.2002.1198121
Publication status	Published - 2002
Externally published	Yes
Event	9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore Duration: 2002 Nov 18 → 2002 Nov 22

Publication series

Name	ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
Volume	2

Other

Other	9th International Conference on Neural Information Processing, ICONIP 2002
Country/Territory	Singapore
City	Singapore
Period	02/11/18 → 02/11/22

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Signal Processing

Access to Document

10.1109/ICONIP.2002.1198121

Cite this

Yamaguchi, Y., Ishimura, K., & Wada, M. (2002). Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex. In L. Wang, K. Fukushima, J. C. Rajapakse, S-Y. Lee, & X. Yao (Eds.), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (pp. 571-575). [1198121] (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.2002.1198121

Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex. / Yamaguchi, Y.; Ishimura, K.; Wada, M.

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. ed. / Lipo Wang; Kunihiko Fukushima; Jagath C. Rajapakse; Soo-Young Lee; Xin Yao. Institute of Electrical and Electronics Engineers Inc., 2002. p. 571-575 1198121 (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age; Vol. 2).

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

Yamaguchi, Y, Ishimura, K & Wada, M 2002, Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex. in L Wang, K Fukushima, JC Rajapakse, S-Y Lee & X Yao (eds), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age., 1198121, ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 571-575, 9th International Conference on Neural Information Processing, ICONIP 2002, Singapore, Singapore, 02/11/18. https://doi.org/10.1109/ICONIP.2002.1198121

Yamaguchi Y, Ishimura K, Wada M. Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex. In Wang L, Fukushima K, Rajapakse JC, Lee S-Y, Yao X, editors, ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Institute of Electrical and Electronics Engineers Inc. 2002. p. 571-575. 1198121. (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age). https://doi.org/10.1109/ICONIP.2002.1198121

Yamaguchi, Y. ; Ishimura, K. ; Wada, M. / Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex. ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. editor / Lipo Wang ; Kunihiko Fukushima ; Jagath C. Rajapakse ; Soo-Young Lee ; Xin Yao. Institute of Electrical and Electronics Engineers Inc., 2002. pp. 571-575 (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age).

@inproceedings{ccd2249ceed94af88de69c8874f900f6,

title = "Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex",

abstract = "We have proposed a chaotic pulse coupled neural network (CPCNN) to investigate possible roles of high-dimensional chaotic dynamics in information coding using synchronous oscillation. In the present paper, some basic characteristics of CPCNN are examined. On the one hand, in a two-neuron system, CPCNN have rather simple condition for the persistence of synchronization despite of its chaotic dynamics. On the other, in a one-dimensional lattice system of homogeneous neurons, it can exhibit complex and various dynamics such as dynamical clustering, traveling waves and spatio-temporal intermittency.",

author = "Y. Yamaguchi and K. Ishimura and M. Wada",

note = "Publisher Copyright: {\textcopyright} 2002 Nanyang Technological University.; 9th International Conference on Neural Information Processing, ICONIP 2002 ; Conference date: 18-11-2002 Through 22-11-2002",

year = "2002",

doi = "10.1109/ICONIP.2002.1198121",

language = "English",

series = "ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "571--575",

editor = "Lipo Wang and Kunihiko Fukushima and Rajapakse, {Jagath C.} and Soo-Young Lee and Xin Yao",

booktitle = "ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing",

}

TY - GEN

T1 - Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex

AU - Yamaguchi, Y.

AU - Ishimura, K.

AU - Wada, M.

PY - 2002

Y1 - 2002

N2 - We have proposed a chaotic pulse coupled neural network (CPCNN) to investigate possible roles of high-dimensional chaotic dynamics in information coding using synchronous oscillation. In the present paper, some basic characteristics of CPCNN are examined. On the one hand, in a two-neuron system, CPCNN have rather simple condition for the persistence of synchronization despite of its chaotic dynamics. On the other, in a one-dimensional lattice system of homogeneous neurons, it can exhibit complex and various dynamics such as dynamical clustering, traveling waves and spatio-temporal intermittency.

AB - We have proposed a chaotic pulse coupled neural network (CPCNN) to investigate possible roles of high-dimensional chaotic dynamics in information coding using synchronous oscillation. In the present paper, some basic characteristics of CPCNN are examined. On the one hand, in a two-neuron system, CPCNN have rather simple condition for the persistence of synchronization despite of its chaotic dynamics. On the other, in a one-dimensional lattice system of homogeneous neurons, it can exhibit complex and various dynamics such as dynamical clustering, traveling waves and spatio-temporal intermittency.

UR - http://www.scopus.com/inward/record.url?scp=84964414025&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964414025&partnerID=8YFLogxK

U2 - 10.1109/ICONIP.2002.1198121

DO - 10.1109/ICONIP.2002.1198121

M3 - Conference contribution

AN - SCOPUS:84964414025

T3 - ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

SP - 571

EP - 575

BT - ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing

A2 - Wang, Lipo

A2 - Fukushima, Kunihiko

A2 - Rajapakse, Jagath C.

A2 - Lee, Soo-Young

A2 - Yao, Xin

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th International Conference on Neural Information Processing, ICONIP 2002

Y2 - 18 November 2002 through 22 November 2002

ER -

Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this