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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6
Randomly Connected Neural Networks Displaying 1/f Spectra
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
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Hiroki Suyari, Yoshinobu Kamitani, Ikuo Matsuba, "Randomly Connected Neural Networks Displaying 1/f Spectra," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 6, pp. 6419, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.859431,
author = {Hiroki Suyari and Yoshinobu Kamitani and Ikuo Matsuba},
title = {Randomly Connected Neural Networks Displaying 1/f Spectra},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {6},
year = {2000},
issn = {1098-7576},
pages = {6419},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859431},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - Randomly Connected Neural Networks Displaying 1/f Spectra
SN - 1098-7576
SP
EP
A1 - Hiroki Suyari,
A1 - Yoshinobu Kamitani,
A1 - Ikuo Matsuba,
PY - 2000
VL - 6
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Hiroki Suyari, Chiba University
Yoshinobu Kamitani, Chiba University
Ikuo Matsuba, Chiba University
It is known that Electroencephalogram (EEG) is broadly scale-invariant over several orders of frequencies. Applying the renormalization group method to the neural network model, we obtain the self-similar solution from which the scaling exponent - 1 of the spectrum fall-off. The present paper permits us to study the self-similar behavior and helps in understanding the basic ingredients underlying 1/f spectra of EEG.
Citation:
Hiroki Suyari, Yoshinobu Kamitani, Ikuo Matsuba, "Randomly Connected Neural Networks Displaying 1/f Spectra," ijcnn, vol. 6, pp.6419, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000
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