Shinsuke Koyama

According to our database, Shinsuke Koyama authored at least 15 papers between 2007 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Estimating the time-varying reproduction number of COVID-19 with a state-space method.

Shinsuke Koyama, Taiki Horie, Shigeru Shinomoto

PLoS Comput. Biol., 2021

2019

Statistical inference of the rate of RNA polymerase II elongation by total RNA sequencing.

Yumi Kawamura, Shinsuke Koyama, Ryo Yoshida

Bioinform., 2019

2018

Projection smoothing for continuous and continuous-discrete stochastic dynamic systems.

Shinsuke Koyama

Signal Process., 2018

Identifying exogenous and endogenous activity in social media.

Kazuki Fujita, Alexey N. Medvedev, Shinsuke Koyama, Renaud Lambiotte, Shigeru Shinomoto

CoRR, 2018

2015

On the Spike Train Variability Characterized by Variance-to-Mean Power Relationship.

Shinsuke Koyama

Neural Comput., 2015

2013

Information Transmission Using Non-Poisson Regular Firing.

Shinsuke Koyama, Takahiro Omi, Robert E. Kass, Shigeru Shinomoto

Neural Comput., 2013

2012

On the Relation Between Encoding and Decoding of Neuronal Spikes.

Shinsuke Koyama

Neural Comput., 2012

Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing.

Shinsuke Koyama

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Estimating Neural Firing Rates: An Empirical Bayes Approach.

Shinsuke Koyama

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2010

A characterization of the time-rescaled gamma process as a model for spike trains.

Takeaki Shimokawa, Shinsuke Koyama, Shigeru Shinomoto

J. Comput. Neurosci., 2010

A new look at state-space models for neural data.

Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua T. Vogelstein, Wei Wu

J. Comput. Neurosci., 2010

Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-space models.

Shinsuke Koyama, Liam Paninski

J. Comput. Neurosci., 2010

Comparison of brain-computer interface decoding algorithms in open-loop and closed-loop control.

Shinsuke Koyama, Steven M. Chase, Andrew S. Whitford, Meel Velliste, Andrew B. Schwartz, Robert E. Kass

J. Comput. Neurosci., 2010

2008

Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons.

Shinsuke Koyama, Robert E. Kass

Neural Comput., 2008

2007

Inference of intrinsic spiking irregularity based on the Kullback-Leibler information.

Shinsuke Koyama, Shigeru Shinomoto

Biosyst., 2007