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ORCIDShinsuke Koyama
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2020 – today
- 2021
[j12]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)
2010 – 2019
- 2019
- [j11]Yumi Kawamura, Shinsuke Koyama, Ryo Yoshida:
Statistical inference of the rate of RNA polymerase II elongation by total RNA sequencing. Bioinform. 35(11): 1877-1884 (2019) - 2018
- [j10]Shinsuke Koyama:
Projection smoothing for continuous and continuous-discrete stochastic dynamic systems. Signal Process. 144: 333-340 (2018) - [i1]Kazuki Fujita, Alexey N. Medvedev, Shinsuke Koyama, Renaud Lambiotte, Shigeru Shinomoto:
Identifying exogenous and endogenous activity in social media. CoRR abs/1808.00810 (2018) - 2015
- [j9]Shinsuke Koyama:
On the Spike Train Variability Characterized by Variance-to-Mean Power Relationship. Neural Comput. 27(7): 1530-1548 (2015) - 2013
- [j8]Shinsuke Koyama, Takahiro Omi, Robert E. Kass, Shigeru Shinomoto:
Information Transmission Using Non-Poisson Regular Firing. Neural Comput. 25(4): 854-876 (2013) - 2012
- [j7]Shinsuke Koyama:
On the Relation Between Encoding and Decoding of Neuronal Spikes. Neural Comput. 24(6): 1408-1425 (2012) - [c2]Shinsuke Koyama:
Estimating Neural Firing Rates: An Empirical Bayes Approach. ICONIP (2) 2012: 51-59 - [c1]Shinsuke Koyama:
Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing. NIPS 2012: 180-188 - 2010
- [j6]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): 73-87 (2010) - [j5]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): 89-105 (2010) - [j4]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): 107-126 (2010) - [j3]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): 183-191 (2010)
2000 – 2009
- 2008
- [j2]Shinsuke Koyama, Robert E. Kass:
Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons. Neural Comput. 20(7): 1776-1795 (2008) - 2007
- [j1]Shinsuke Koyama, Shigeru Shinomoto:
Inference of intrinsic spiking irregularity based on the Kullback-Leibler information. Biosyst. 89(1-3): 69-73 (2007)
Coauthor Index
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