Presentation 2002/3/11
Active Membrane Detects Differential Information of a Synaptic Stimulus
Yuichi SAKUMURA, Shin ISHII,
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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.
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Keyword(in English) input differential / active membrane / spike jitter / mutual entropy
Paper # NC2001-132
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Committee NC
Conference Date 2002/3/11(1days)
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Paper Information
Registration To Neurocomputing (NC)
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
Date of Issue