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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 16, 2014
Bursting transition in a linear self-exciting point processTomokatsu Onaga, Shigeru ShinomotoBio Systems|February 27, 2007
Inference of intrinsic spiking irregularity based on the Kullback-Leibler informationShinsuke Koyama, Shigeru ShinomotoNeural Computation|March 28, 2009
Estimating instantaneous irregularity of neuronal firingTakeaki Shimokawa, Shigeru ShinomotoPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 16, 2007
State space method for predicting the spike times of a neuronRyota Kobayashi, Shigeru ShinomotoPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 1, 2008
Reverberating activity in a neural network with distributed signal transmission delaysTakahiro Omi, Shigeru ShinomotoPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 4, 2008
Can distributed delays perfectly stabilize dynamical networks?Takahiro Omi, Shigeru ShinomotoJournal of Computational Neuroscience|August 6, 2009
Kernel bandwidth optimization in spike rate estimationHideaki Shimazaki, Shigeru ShinomotoStatistics in Medicine|May 26, 2007
A solution to the controversy between rate and temporal codingShigeru Shinomoto, Shinsuke KoyamaPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 16, 2006
Inhibitory neurons can facilitate rhythmic activity in a neural networkTakeaki Shimokawa, Shigeru ShinomotoPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 11, 2012
Estimating nonstationary input signals from a single neuronal spike trainHideaki Kim, Shigeru ShinomotoPageof 7