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Scientific Reports|March 5, 2026
Comparing effective and functional connectivityShigeru Shinomoto, Yasuhiro TsuboScientific Reports|October 11, 2022
Detection and categorization of severe cardiac disorders based solely on heart period measurementsShigeru Shinomoto, Yasuhiro Tsubo, Yoshinori MarunakaNeural Networks : the Official Journal of the International Neural Network Society|March 24, 2004
Predicting spike timings of current-injected neuronsYasuhiro Tsubo, Takeshi Kaneko, Shigeru ShinomotoFrontiers in Computational Neuroscience|August 12, 2009
Made-to-order spiking neuron model equipped with a multi-timescale adaptive thresholdRyota Kobayashi, Yasuhiro Tsubo, Shigeru ShinomotoNeural Networks : the Official Journal of the International Neural Network Society|May 19, 2010
Fitting a stochastic spiking model to neuronal current injection dataShigeru ShinomotoNeural Computation|September 17, 2011
Optimizing time histograms for non-Poissonian spike trainsTakahiro Omi, Shigeru ShinomotoNeuroscience Research|August 4, 2024
Inference of monosynaptic connections from parallel spike trains: A reviewRyota Kobayashi, Shigeru ShinomotoAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Estimating inputs and an internal neuronal parameter from a single spike trainShigeru Shinomoto, Hideaki KimMathematical Biosciences and Engineering : MBE|November 20, 2013
Estimating nonstationary inputs from a single spike train based on a neuron model with adaptationHideaki Kim, Shigeru ShinomotoPageof 7