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 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.
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Keyword(in English) Information geometry / Correlation function / Higher-order correlation / Neural firing
Paper # NC2001-182
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Committee NC
Conference Date 2002/3/12(1days)
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Registration To Neurocomputing (NC)
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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