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 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 571-575 |
| Number of pages | 5 |
| Volume | 2 |
| ISBN (Electronic) | 9810475241, 9789810475246 |
| DOIs | |
| Publication status | Published - 2002 Jan 1 |
| Externally published | Yes |
| Event | 9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore Duration: 2002 Nov 18 → 2002 Nov 22 |
Other
| Other | 9th International Conference on Neural Information Processing, ICONIP 2002 |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 02/11/18 → 02/11/22 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Signal Processing
Cite this
Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex. / Yamaguchi, Y.; Ishimura, Kosei; Wada, M.
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., 2002. p. 571-575 1198121.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex
AU - Yamaguchi, Y.
AU - Ishimura, Kosei
AU - Wada, M.
PY - 2002/1/1
Y1 - 2002/1/1
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
VL - 2
SP - 571
EP - 575
BT - ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing
PB - Institute of Electrical and Electronics Engineers Inc.
ER -