Presentation | 2010/6/11 Stochastic synchrony and transition between two states in the olfactory bulb Wataru KUREBAYASHI, Tohru IKEGUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The gamma rhythm oscillation in the olfactory bulb plays an important role in olfactory information processing. This oscillation results from the synchronization of mitral cells, or the principle neuron in the olfactory bulb. In addition, transition between synchronous and asynchronous states has also been observed. Although the mechanism of the synchronization is still unclear, a new mechanism which accounts for both the synchronization and the state transition has been proposed. In this report, we employed Marella's mechanism to analyze statistical properties of the state transition. As a result, we discovered that the distribution of duration of synchronous and asynchronous states obeys a power law. This result indicates that underlying dynamics of the state transition is not a Poisson process but has a long time scale. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | oscillator / stochastic synchrony / neural circuit / olfactory bulb / power-law distribution |
Paper # | NC2010-3,NLP2010-3 |
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Committee | NC |
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Conference Date | 2010/6/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Stochastic synchrony and transition between two states in the olfactory bulb |
Sub Title (in English) | |
Keyword(1) | oscillator |
Keyword(2) | stochastic synchrony |
Keyword(3) | neural circuit |
Keyword(4) | olfactory bulb |
Keyword(5) | power-law distribution |
1st Author's Name | Wataru KUREBAYASHI |
1st Author's Affiliation | Department of Information and Computer science, school of Engineering, Saitama University() |
2nd Author's Name | Tohru IKEGUCHI |
2nd Author's Affiliation | Graduate school of Science and Engineering, Saitama University:Saitama University, Brain Science Institute |
Date | 2010/6/11 |
Paper # | NC2010-3,NLP2010-3 |
Volume (vol) | vol.110 |
Number (no) | 83 |
Page | pp.pp.- |
#Pages | 6 |
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