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Derivation of 1/f fluctuations by means of the spatial coarse-graining method for a neural network model.
- Source :
-
Electronics & Communications in Japan, Part 3: Fundamental Electronic Science . Jan2004, Vol. 87 Issue 1, p72-81. 10p. - Publication Year :
- 2004
-
Abstract
- The 1/f spectra that appear in electroencephalogram data are among the characteristics that appear in the wide range of self-organizing phenomena encompassing both physical and sociological phenomena. The fact that they appear across the various objects suggests that the underlying cause of the 1/f spectra can be elucidated by using a simplified model that does not depend on the detailed structure of the objects. This paper, treating the electroencephalogram as a macro-quantity of neuron activities, demonstrates the existence of a self-similar solution through the spatial-temporal coarse-graining of a neural network, which is a simplified model of the brain. The self-similar solution in fact leads to the derivation of a 1/f spectrum. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 87(1): 72–81, 2004; Published online in Wiley InterScience (<URL>www.interscience.wiley.com</URL>). DOI 10.1002/ecjc.10016 [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10420967
- Volume :
- 87
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Electronics & Communications in Japan, Part 3: Fundamental Electronic Science
- Publication Type :
- Academic Journal
- Accession number :
- 13508254
- Full Text :
- https://doi.org/10.1002/ecjc.10016