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All Technical Committee Conferences  (Searched in: All Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 5 of 5  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CQ, CBE
(Joint)
2024-01-25
16:50
Kumamoto Kurokawa-Onsen
(Primary: On-site, Secondary: Online)
[Invited Talk] Analysis of global state fluctuations in functional brain networks
Makoto Fukushima (Hiroshima Univ.) CQ2023-59
The degree of synchronization of regional brain activities (i.e., functional connectivity) always fluctuates over time, ... [more] CQ2023-59
p.43
NC, NLP
(Joint)
2021-01-21
10:30
Online Online Phase reduction method for analysis of coupling between coupled oscillator groups exhibiting collective oscillations with statistical approach
Takahiro Arai (Kyoto Univ.), Yoji Kawamura (JAMSTEC), Toshio Aoyagi (Kyoto Univ.) NLP2020-42
In this paper, we extended the method which extracts a phase description of weakly coupled limit-cycle oscillators from ... [more] NLP2020-42
pp.13-18
MSS, NLP
(Joint)
2020-03-10
10:20
Aichi  
(Cancelled but technical report was issued)
Detecting unobserved nodes in networks of dynamical systems estimated only from time series data.
Yuuki Sakakibara, Yutaka Shimada, Takaomi Shigehara (Saitama Univ.) NLP2019-125
Real complex phenomena can be described as coupled dynamical systems, where many dynamical systems are coupled with each... [more] NLP2019-125
pp.71-76
IN, CCS
(Joint)
2018-08-01
14:00
Hokkaido Kitayuzawa Mori-no-Soraniwa [Invited Talk] Phase description and synchronization of collective rhythms in networks of coupled dynamical systems
Hiroya Nakao (Tokyo Tech.) CCS2018-25 IN2018-12
Collective rhythms in networks of coupled dynamical elements often play important functional roles in real-world systems... [more] CCS2018-25 IN2018-12
pp.1-6
NLP, CCS 2015-06-11
14:00
Tokyo Waseda Univerisity Data assimilation for coupled dynamical systems using a merging particle filter
Eitaro Waranabe, Sho Shirasaka, Hiroya Nakao (Tokyo Tech) NLP2015-48 CCS2015-10
We propose a method to estimate unknown parameters of coupled dynamical systems from observed data using a merging parti... [more] NLP2015-48 CCS2015-10
pp.55-60
 Results 1 - 5 of 5  /   
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