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 Results 21 - 27 of 27 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2013-03-15
09:50
Chiba Nishi-Chiba campus, Chiba Univ. Analysis on real networks by classical multidimensional scaling
Yong Gao, Kaori Kuroda (Saitama Univ.), Yutaka Shimada (Aihara Innovative Mathematical Modelling Project/JST), Kantaro Fujiwara, Tohru Ikeguchi (Saitama Univ.) NLP2012-162
In the real world, we have a wide variety of complex networks, such as Internet, neural networks, human relationships an... [more] NLP2012-162
pp.91-96
NLP 2013-03-15
10:15
Chiba Nishi-Chiba campus, Chiba Univ. Prediction of growth of complex networks
Suguru Yaginuma, Kaori Kuroda (Saitama Univ.), Yutaka Shimada (Aihara Innovative Mathematical Modelling Project), Kantaro Fujiwara, Tohru Ikeguchi (Saitama Univ.) NLP2012-163
In this report, we propose a method to predict growth of a complex network. In our method, first, we transformed a compl... [more] NLP2012-163
pp.97-102
NLP 2013-03-15
15:10
Chiba Nishi-Chiba campus, Chiba Univ. Experimental observation of common noise-induced synchronization in chaotic oscillators
Tsubasa Kawai, Ryoya Kusumi, Kaori Kuroda (Saitama Univ.), Hideyuki Kato (CSISC-UIB), Kantaro Fujiwara (Saitama Univ.), Kenya Jin'no (Nippon Inst. of Tech.), Tohru Ikeguchi (Saitama Univ.) NLP2012-172
Synchronization is a ubiquitous phenomenon that has been widely observed in
various nonlinear dynamical systems. Among ... [more]
NLP2012-172
pp.149-154
NC, NLP 2013-01-25
10:50
Hokkaido Hokkaido University Centennial Memory Hall Estimation of network structures from marked point process using spike time metric
Kaori Kuroda, Kantaro Fujiwara, Tohru Ikeguchi (Saitama Univ.) NLP2012-129 NC2012-119
In the real world, additional information with event sequences can be essential for several complex phenomena, for examp... [more] NLP2012-129 NC2012-119
pp.143-148
NLP 2010-03-09
09:20
Tokyo   Reconstruction of input information using transformation from spike train to continuous-time series
Mai Suzuki, Kaori Kuroda, Yutaka Shimada, Tohru Ikeguchi (Saitama Univ.) NLP2009-159
Neurons code input information and generate spike trains. The generated spike trains reflect the input information. In t... [more] NLP2009-159
pp.9-14
NLP 2010-01-21
10:00
Gifu   Estimation of connectivity of nonlinear dynamical systems by partial correlation analysis
Kaori Kuroda, Atsushi Uchida, Tohru Ikeguchi (Saitama Univ.) NLP2009-140
In the real world, nonlinear dynamical systems often produce complex behaviors due to interactions between elements. To ... [more] NLP2009-140
pp.1-5
NLP 2009-11-13
10:45
Kagoshima   Partialization Analysis for Nonlinear Connections of Second Order
Kaori Kuroda, Tohru Ikeguchi (Saitama Univ.) NLP2009-102
Real systems often produce very complicated behavior due to complex interactions between elements in the system. In orde... [more] NLP2009-102
pp.115-120
 Results 21 - 27 of 27 [Previous]  /   
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