Presentation | 2002/3/12 Estimation of Neural Mechanism by Information-geometric Measure and Correlation Function Masami TATSUNO, Masato OKADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Information-geometric measure was recently proposed to analyze higher order correlation among spike firing. However the detailed property of this quantity has not yet been elucidated. Here we demonstrated that information-geometric measure was dependent both on the underlying connections and on the local inputs. We also presented that information-geometric measure had a monotonic relation to cross-correlation function, depicting a similar feature of neural firing. This model-based approach, integrated with an analytical tool such as information-geometric measure, will give a powerful tool for computational and experimental neuroscience. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Information geometry / Correlation function / Higher-order correlation / Neural firing |
Paper # | NC2001-182 |
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Committee | NC |
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Conference Date | 2002/3/12(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Estimation of Neural Mechanism by Information-geometric Measure and Correlation Function |
Sub Title (in English) | |
Keyword(1) | Information geometry |
Keyword(2) | Correlation function |
Keyword(3) | Higher-order correlation |
Keyword(4) | Neural firing |
1st Author's Name | Masami TATSUNO |
1st Author's Affiliation | Brain Science Institute, RIKEN() |
2nd Author's Name | Masato OKADA |
2nd Author's Affiliation | Brain Science Institute, RIKEN |
Date | 2002/3/12 |
Paper # | NC2001-182 |
Volume (vol) | vol.101 |
Number (no) | 736 |
Page | pp.pp.- |
#Pages | 8 |
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