Shinsuke Koyama

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 4

Top Topics

Coding Efficiency

Adaptive Binary Arithmetic Coding

Empirical Bayes

Top Venues

Publications

Shinsuke Koyama, Taiki Horie, Shigeru Shinomoto
Estimating the time-varying reproduction number of COVID-19 with a state-space method. PLoS Comput. Biol. 17 (1) (2021)
Yumi Kawamura, Shinsuke Koyama, Ryo Yoshida
Statistical inference of the rate of RNA polymerase II elongation by total RNA sequencing. Bioinform. 35 (11) (2019)
Kazuki Fujita, Alexey N. Medvedev, Shinsuke Koyama, Renaud Lambiotte, Shigeru Shinomoto
Identifying exogenous and endogenous activity in social media. CoRR (2018)
Shinsuke Koyama
Projection smoothing for continuous and continuous-discrete stochastic dynamic systems. Signal Process. 144 (2018)
Shinsuke Koyama
On the Spike Train Variability Characterized by Variance-to-Mean Power Relationship. Neural Comput. 27 (7) (2015)
Shinsuke Koyama, Takahiro Omi, Robert E. Kass, Shigeru Shinomoto
Information Transmission Using Non-Poisson Regular Firing. Neural Comput. 25 (4) (2013)
Shinsuke Koyama
Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing. NIPS (2012)
Shinsuke Koyama
Estimating Neural Firing Rates: An Empirical Bayes Approach. ICONIP (2) (2012)
Shinsuke Koyama
On the Relation Between Encoding and Decoding of Neuronal Spikes. Neural Comput. 24 (6) (2012)
Shinsuke Koyama, Steven M. Chase, Andrew S. Whitford, Meel Velliste, Andrew B. Schwartz, Robert E. Kass
Comparison of brain-computer interface decoding algorithms in open-loop and closed-loop control. J. Comput. Neurosci. 29 (1-2) (2010)
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua T. Vogelstein, Wei Wu
A new look at state-space models for neural data. J. Comput. Neurosci. 29 (1-2) (2010)
Takeaki Shimokawa, Shinsuke Koyama, Shigeru Shinomoto
A characterization of the time-rescaled gamma process as a model for spike trains. J. Comput. Neurosci. 29 (1-2) (2010)
Shinsuke Koyama, Liam Paninski
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-space models. J. Comput. Neurosci. 29 (1-2) (2010)
Shinsuke Koyama, Robert E. Kass
Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons. Neural Comput. 20 (7) (2008)
Shinsuke Koyama, Shigeru Shinomoto
Inference of intrinsic spiking irregularity based on the Kullback-Leibler information. Biosyst. 89 (1-3) (2007)