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Naoki Masuda

Showing results (121-130 of 228) with videos related to

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Plos Computational Biology|July 21, 2016
Reinforcement Learning Explains Conditional Cooperation and Its Moody CousinTakahiro Ezaki, Yutaka Horita, Masanori Takezawa, et al.
Human Brain Mapping|March 11, 2018
Age-related changes in the ease of dynamical transitions in human brain activityTakahiro Ezaki, Michiko Sakaki, Takamitsu Watanabe, et al.
Physical Review. E|January 20, 2018
Sampling of temporal networks: Methods and biasesLuis E C Rocha, Naoki Masuda, Petter Holme
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 14, 2015
Steady state and mean recurrence time for random walks on stochastic temporal networksLeo Speidel, Renaud Lambiotte, Kazuyuki Aihara, et al.
Proceedings. Mathematical, Physical, and Engineering Sciences|February 14, 2022
A growth model for water distribution networks with loopsKashin Sugishita, Noha Abdel-Mottaleb, Qiong Zhang, et al.
Iscience|September 23, 2022
Empirical test of the many-wrongs hypothesis reveals weighted averaging of individual routes in pigeon flocksTakao Sasaki, Naoki Masuda, Richard P Mann, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 19, 2013
State concentration exponent as a measure of quickness in Kauffman-type networksShun-ichi Amari, Hiroyasu Ando, Taro Toyoizumi, et al.
Journal of the Royal Society, Interface|August 8, 2014
Global network structure of dominance hierarchy of ant workersHiroyuki Shimoji, Masato S Abe, Kazuki Tsuji, et al.
Scientific Reports|February 5, 2022
Temporal motifs in patent opposition and collaboration networksPenghang Liu, Naoki Masuda, Tomomi Kito, et al.
PLOS Complex Systems|May 29, 2026
Energy landscape analysis based on the Ising model: Tutorial reviewNaoki Masuda, Saiful Islam, Si Thu Aung, et al.
Pageof 23

Showing results (121-130 of 228) with videos related to

Sort By:
Pageof 23
Plos Computational Biology|July 21, 2016
Reinforcement Learning Explains Conditional Cooperation and Its Moody CousinTakahiro Ezaki, Yutaka Horita, Masanori Takezawa, et al.
Human Brain Mapping|March 11, 2018
Age-related changes in the ease of dynamical transitions in human brain activityTakahiro Ezaki, Michiko Sakaki, Takamitsu Watanabe, et al.
Physical Review. E|January 20, 2018
Sampling of temporal networks: Methods and biasesLuis E C Rocha, Naoki Masuda, Petter Holme
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 14, 2015
Steady state and mean recurrence time for random walks on stochastic temporal networksLeo Speidel, Renaud Lambiotte, Kazuyuki Aihara, et al.
Proceedings. Mathematical, Physical, and Engineering Sciences|February 14, 2022
A growth model for water distribution networks with loopsKashin Sugishita, Noha Abdel-Mottaleb, Qiong Zhang, et al.
Iscience|September 23, 2022
Empirical test of the many-wrongs hypothesis reveals weighted averaging of individual routes in pigeon flocksTakao Sasaki, Naoki Masuda, Richard P Mann, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 19, 2013
State concentration exponent as a measure of quickness in Kauffman-type networksShun-ichi Amari, Hiroyasu Ando, Taro Toyoizumi, et al.
Journal of the Royal Society, Interface|August 8, 2014
Global network structure of dominance hierarchy of ant workersHiroyuki Shimoji, Masato S Abe, Kazuki Tsuji, et al.
Scientific Reports|February 5, 2022
Temporal motifs in patent opposition and collaboration networksPenghang Liu, Naoki Masuda, Tomomi Kito, et al.
PLOS Complex Systems|May 29, 2026
Energy landscape analysis based on the Ising model: Tutorial reviewNaoki Masuda, Saiful Islam, Si Thu Aung, et al.
Pageof 23