143 citations · 314 across the 5 of their papers we have counts for
5 papers
Comments on "Y.-Q. Wang, et al., Commun. Nonlinear Sci. Numer. Simul. 103:105981 (2021)"
Takahiro Ezaki
With regard to the recently published article, ``Y.-Q. Wang, et al., Physical mechanism of equiprobable exclusion network with heterogeneous interactions in phase transitions: Anal…
Modeling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture models
Takahiro Ezaki, Yu Himeno, Takamitsu Watanabe +1
Recent studies have proposed that one can summarize brain activity into dynamics among a relatively small number of hidden states and that such an approach is a promising tool for…
Clustering coefficients for correlation networks
Naoki Masuda, Michiko Sakaki, Takahiro Ezaki +1
The clustering coefficient quantifies the abundance of connected triangles in a network and is a major descriptive statistics of networks. For example, it finds an application in t…
Reinforcement learning account of network reciprocity
Takahiro Ezaki, Naoki Masuda
Evolutionary game theory predicts that cooperation in social dilemma games is promoted when agents are connected as a network. However, when networks are fixed over time, humans do…
Energy landscape analysis of neuroimaging data
Takahiro Ezaki, Takamitsu Watanabe, Masayuki Ohzeki +1
Computational neuroscience models have been used for understanding neural dynamics in the brain and how they may be altered when physiological or other conditions change. We review…