Presentation	2000/10/13 Derivation of 1/f fluctuation by means of spatial coarse-graining method for neural network model : Spectral characteristic of an interacting many-body system with threshold function Yoshinobu Kamitani,
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Abstract(in English)	1/f spectrum observed in electroencephalogram is one of the characteristics of self-organizing phenomena, which appear in diverse area from physics to sociology. The ubiquitous of 1/f implies that an analysis that uses an simplified model can also explain the neture of 1/f. In our paper we consider EEG as macroscopic quantity of neuronal activities and exhibit a self-similar solution by carrying out spatial and temporal coarse-graining for the neural network model that is a simple model of the brain. The self-similar solution obtained in the above process leads to 1/f spectrum.
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Keyword(in English)	neural net / coarse-graining / self-similarity / 1/f spectra
Paper #	NLP2000-74
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Committee	NLP
Conference Date	2000/10/13(1days)
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Registration To	Nonlinear Problems (NLP)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Derivation of 1/f fluctuation by means of spatial coarse-graining method for neural network model : Spectral characteristic of an interacting many-body system with threshold function
Sub Title (in English)
Keyword(1)	neural net
Keyword(2)	coarse-graining
Keyword(3)	self-similarity
Keyword(4)	1/f spectra
1st Author's Name	Yoshinobu Kamitani
1st Author's Affiliation	Graduate School of Science and Technology, Chiba University()
Date	2000/10/13
Paper #	NLP2000-74
Volume (vol)	vol.100
Number (no)	381
Page	pp.pp.-
#Pages	8
Date of Issue