Presentation | 2002/3/11 Active Membrane Detects Differential Information of a Synaptic Stimulus Yuichi SAKUMURA, Shin ISHII, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It remains unclear what aspect of a synaptic stimulus is substantial for neurons and how they translate the synaptic input into spikes. In this study, using the Hodgkin-Huxley model, the statistical relationship between input and output is analyzed. We show that the model detects differential of the synaptic input rather than the amplitude. We also show that a passive model like the leaky integrate-and-fire model does not have such a property. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | input differential / active membrane / spike jitter / mutual entropy |
Paper # | NC2001-132 |
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Committee | NC |
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Conference Date | 2002/3/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Active Membrane Detects Differential Information of a Synaptic Stimulus |
Sub Title (in English) | |
Keyword(1) | input differential |
Keyword(2) | active membrane |
Keyword(3) | spike jitter |
Keyword(4) | mutual entropy |
1st Author's Name | Yuichi SAKUMURA |
1st Author's Affiliation | Graduate School of Information Science:CREST, Japan Science and Technology Corporation (JST)() |
2nd Author's Name | Shin ISHII |
2nd Author's Affiliation | Graduate School of Information Science:CREST, Japan Science and Technology Corporation (JST) |
Date | 2002/3/11 |
Paper # | NC2001-132 |
Volume (vol) | vol.101 |
Number (no) | 735 |
Page | pp.pp.- |
#Pages | 6 |
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