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Shigeru Shinomoto

Showing results (1-10 of 49) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|May 19, 2010
Fitting a stochastic spiking model to neuronal current injection dataShigeru Shinomoto
Neural Computation|September 17, 2011
Optimizing time histograms for non-Poissonian spike trainsTakahiro Omi, Shigeru Shinomoto
Neuroscience Research|August 4, 2024
Inference of monosynaptic connections from parallel spike trains: A reviewRyota Kobayashi, Shigeru Shinomoto
Scientific Reports|March 5, 2026
Comparing effective and functional connectivityShigeru Shinomoto, Yasuhiro Tsubo
Annual 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 Kim
Mathematical Biosciences and Engineering : MBE|November 20, 2013
Estimating nonstationary inputs from a single spike train based on a neuron model with adaptationHideaki Kim, Shigeru Shinomoto
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 16, 2014
Bursting transition in a linear self-exciting point processTomokatsu Onaga, Shigeru Shinomoto
PNAS Nexus|July 12, 2024
Nondifferentiable activity in the brainYasuhiro Tsubo, Shigeru Shinomoto
Bio Systems|February 27, 2007
Inference of intrinsic spiking irregularity based on the Kullback-Leibler informationShinsuke Koyama, Shigeru Shinomoto
Neural Computation|March 28, 2009
Estimating instantaneous irregularity of neuronal firingTakeaki Shimokawa, Shigeru Shinomoto
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Neural Networks : the Official Journal of the International Neural Network Society|May 19, 2010
Fitting a stochastic spiking model to neuronal current injection dataShigeru Shinomoto
Neural Computation|September 17, 2011
Optimizing time histograms for non-Poissonian spike trainsTakahiro Omi, Shigeru Shinomoto
Neuroscience Research|August 4, 2024
Inference of monosynaptic connections from parallel spike trains: A reviewRyota Kobayashi, Shigeru Shinomoto
Scientific Reports|March 5, 2026
Comparing effective and functional connectivityShigeru Shinomoto, Yasuhiro Tsubo
Annual 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 Kim
Mathematical Biosciences and Engineering : MBE|November 20, 2013
Estimating nonstationary inputs from a single spike train based on a neuron model with adaptationHideaki Kim, Shigeru Shinomoto
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 16, 2014
Bursting transition in a linear self-exciting point processTomokatsu Onaga, Shigeru Shinomoto
PNAS Nexus|July 12, 2024
Nondifferentiable activity in the brainYasuhiro Tsubo, Shigeru Shinomoto
Bio Systems|February 27, 2007
Inference of intrinsic spiking irregularity based on the Kullback-Leibler informationShinsuke Koyama, Shigeru Shinomoto
Neural Computation|March 28, 2009
Estimating instantaneous irregularity of neuronal firingTakeaki Shimokawa, Shigeru Shinomoto
Pageof 5