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Frontiers in Computational Neuroscience|December 29, 2011
Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing timesSatoshi Yamauchi, Hideaki Kim, Shigeru ShinomotoPlos Computational Biology|January 29, 2021
Estimating the time-varying reproduction number of COVID-19 with a state-space methodShinsuke Koyama, Taiki Horie, Shigeru ShinomotoNeural Computation|September 17, 2011
Estimation of time-dependent input from neuronal membrane potentialRyota Kobayashi, Shigeru Shinomoto, Petr LanskyNeural Computation|November 25, 2003
Differences in spiking patterns among cortical neuronsShigeru Shinomoto, Keisetsu Shima, Jun TanjiJournal of Computational Neuroscience|October 22, 2009
A characterization of the time-rescaled gamma process as a model for spike trainsTakeaki Shimokawa, Shinsuke Koyama, Shigeru ShinomotoPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 15, 2015
Microscopic instability in recurrent neural networksYuzuru Yamanaka, Shun-ichi Amari, Shigeru ShinomotoJournal of Computational Neuroscience|June 7, 2011
Neurons as ideal change-point detectorsHideaki Kim, Barry J Richmond, Shigeru ShinomotoFrontiers in Neural Circuits|May 9, 2013
Neural dynamics and information representation in microcircuits of motor cortexYasuhiro Tsubo, Yoshikazu Isomura, Tomoki FukaiPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 21, 2005
Synchrony of neural oscillators induced by random telegraphic currentsKen Nagai, Hiroya Nakao, Yasuhiro TsuboPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 28, 2002
Universality of chaotic rare fluctuations in a locally coupled phase map modelTakeshi Watanabe, Yasuhiro Tsubo, Hirokazu FujisakaPageof 7