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Shinsuke Koyama

Showing results (1-10 of 62) with videos related to

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Plos One|June 16, 2023
Multivariate epidemic count time series modelShinsuke Koyama
Neural Computation|May 15, 2015
On the Spike Train Variability Characterized by Variance-to-Mean Power RelationshipShinsuke Koyama
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 22, 2002
Storage capacity of two-dimensional neural networksShinsuke Koyama
Infectious Disease Modelling|September 13, 2023
Estimating effective reproduction number revisitedShinsuke Koyama
Neural Computation|February 28, 2012
On the relation between encoding and decoding of neuronal spikesShinsuke Koyama
Entropy (Basel, Switzerland)|June 26, 2025
Coarse-Grained Hawkes ProcessesShinsuke Koyama
Statistics in Medicine|May 26, 2007
A solution to the controversy between rate and temporal codingShigeru Shinomoto, Shinsuke Koyama
Bio Systems|February 27, 2007
Inference of intrinsic spiking irregularity based on the Kullback-Leibler informationShinsuke Koyama, Shigeru Shinomoto
Journal of Computational Neuroscience|April 29, 2009
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-space modelsShinsuke Koyama, Liam Paninski
Mathematical Biosciences and Engineering : MBE|November 20, 2013
The effect of interspike interval statistics on the information gain under the rate coding hypothesisShinsuke Koyama, Lubomir Kostal
Pageof 7

Showing results (1-10 of 62) with videos related to

Sort By:
Pageof 7
Plos One|June 16, 2023
Multivariate epidemic count time series modelShinsuke Koyama
Neural Computation|May 15, 2015
On the Spike Train Variability Characterized by Variance-to-Mean Power RelationshipShinsuke Koyama
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 22, 2002
Storage capacity of two-dimensional neural networksShinsuke Koyama
Infectious Disease Modelling|September 13, 2023
Estimating effective reproduction number revisitedShinsuke Koyama
Neural Computation|February 28, 2012
On the relation between encoding and decoding of neuronal spikesShinsuke Koyama
Entropy (Basel, Switzerland)|June 26, 2025
Coarse-Grained Hawkes ProcessesShinsuke Koyama
Statistics in Medicine|May 26, 2007
A solution to the controversy between rate and temporal codingShigeru Shinomoto, Shinsuke Koyama
Bio Systems|February 27, 2007
Inference of intrinsic spiking irregularity based on the Kullback-Leibler informationShinsuke Koyama, Shigeru Shinomoto
Journal of Computational Neuroscience|April 29, 2009
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-space modelsShinsuke Koyama, Liam Paninski
Mathematical Biosciences and Engineering : MBE|November 20, 2013
The effect of interspike interval statistics on the information gain under the rate coding hypothesisShinsuke Koyama, Lubomir Kostal
Pageof 7