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Plos One|December 9, 2017
Reinforcement learning account of network reciprocityTakahiro Ezaki, Naoki MasudaThe European Journal of Neuroscience|July 12, 2021
Modelling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture modelsTakahiro Ezaki, Yu Himeno, Takamitsu Watanabe, et al.Frontiers in Neuroinformatics|March 31, 2018
Clustering Coefficients for Correlation NetworksNaoki Masuda, Michiko Sakaki, Takahiro Ezaki, et al.Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|May 17, 2017
Energy landscape analysis of neuroimaging dataTakahiro Ezaki, Takamitsu Watanabe, Masayuki Ohzeki, et al.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.Communications Biology|February 5, 2020
Closer to critical resting-state neural dynamics in individuals with higher fluid intelligenceTakahiro Ezaki, Elohim Fonseca Dos Reis, Takamitsu Watanabe, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 7, 2012
Exact solution of a heterogeneous multilane asymmetric simple exclusion processTakahiro Ezaki, Katsuhiro NishinariEmergency Medicine Australasia : EMA|July 28, 2007
Emergency medicine in Japan. A look at a current university hospital and the problems facedTakahiro Ezaki, Makoto HashizumePhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 13, 2014
Potential global jamming transition in aviation networksTakahiro Ezaki, Katsuhiro NishinariPageof 29