 | 2012 |
| 7 |  | Shinsuke Koyama:
On the Relation Between Encoding and Decoding of Neuronal Spikes.
Neural Computation 24(6): 1408-1425 (2012) |
| 2010 |
| 6 |  | 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.
Journal of Computational Neuroscience 29(1-2): 107-126 (2010) |
| 5 |  | Takeaki Shimokawa,
Shinsuke Koyama,
Shigeru Shinomoto:
A characterization of the time-rescaled gamma process as a model for spike trains.
Journal of Computational Neuroscience 29(1-2): 183-191 (2010) |
| 4 |  | 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.
Journal of Computational Neuroscience 29(1-2): 73-87 (2010) |
| 3 |  | 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.
Journal of Computational Neuroscience 29(1-2): 89-105 (2010) |
| 2008 |
| 2 |  | Shinsuke Koyama,
Robert E. Kass:
Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons.
Neural Computation 20(7): 1776-1795 (2008) |
| 2007 |
| 1 |  | Shinsuke Koyama,
Shigeru Shinomoto:
Inference of intrinsic spiking irregularity based on the Kullback-Leibler information.
Biosystems 89(1-3): 69-73 (2007) |