Presentation | 2001/10/12 Synchronization of Pulse-coupled Neurons in Small-world Neural Networks Naoki MASUDA, Kazuyuki AIHARA, |
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Abstract(in English) | Synchronization of neurons plays an important role in information processing of organisms, and there have been a lot of analytical and numerical results regarding the synchronization conditions in various model neural networks. In most of these works, simple connections such as all-to-all couplings or local couplings have been assumed. However, more complex structures such as small-world properties have been shown to exist biologically. In the present report, we examine synchronization phenomena of leaky integrate-and-fire neurons in various network topology. We show small-world networks can lead to synchronous firing more easily than random networks or local networks do. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | synchronization / small-world network / neural network / leaky integrate-and-fire neuron |
Paper # | NC2001-62 |
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Committee | NC |
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Conference Date | 2001/10/12(1days) |
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Registration To | Neurocomputing (NC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Synchronization of Pulse-coupled Neurons in Small-world Neural Networks |
Sub Title (in English) | |
Keyword(1) | synchronization |
Keyword(2) | small-world network |
Keyword(3) | neural network |
Keyword(4) | leaky integrate-and-fire neuron |
1st Author's Name | Naoki MASUDA |
1st Author's Affiliation | Department of Mathematical Engineering and Information Physics Graduate School of Engineering, The University of Tokyo:Research Fellow of the Japan Society for the Promotion of Science() |
2nd Author's Name | Kazuyuki AIHARA |
2nd Author's Affiliation | Department of Mathematical Engineering and Information Physics Graduate School of Engineering, The University of Tokyo:CREST, Japan Science and Technology Co.(JST) |
Date | 2001/10/12 |
Paper # | NC2001-62 |
Volume (vol) | vol.101 |
Number (no) | 365 |
Page | pp.pp.- |
#Pages | 6 |
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