Research Category

complex networks, mathematical biology, computational neuroscience

Area of Interest

epidemic dynamics, evolution of cooperation, opinion formation, neuroeconomics

Recent Thoughts

Complex networks and computational neuroscience are apparently independent topics. I don’t intend to emphasize the connection between the two. However, humans’ social networks are prototypical examples of complex networks, and social behavior is generated by the brain. I work on these different topics because of my general interests in social behavior particularly of humans. Understanding social behavior in my own way is my grand challenge. I always have this challenge in mind when I am working on whatever projects.

Publications

• 増田 直紀, 今野 紀雄. 複雑ネットワークの科学. 産業図書 (2005).
• N. Masuda. Participation costs dismiss the advantage of heterogeneous networks in evolution of cooperation. Proceedings of the Royal Society B: Biological Sciences, 274, 1815-1821 (2007).
• N. Masuda, B. Doiron. Gamma oscillations of spiking neural populations enhance signal discrimination. PLoS Computational Biology, 3, e236, 2348-2355 (2007).

Recent/Ongoing Works

• N. Masuda, H. Ohtsuki. A theoretical analysis of temporal difference learning in the iterated Prisoner's Dilemma game. Bulletin of Mathematical Biology, 71, 1818-1850 (2009).
• N. Masuda. Immunization of networks with community structure. New Journal of Physics, 11, 123018 (2009).
• N. Masuda, Y. Kawamura, H. Kori. Collective fluctuations in networks of noisy components. Preprint: arXiv:0911.5013

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