S. Koyama and S. Shinomoto, J. Phys. A 38 (2005) L531-L537.

T. Shimokawa and S. Shinomoto, Neural Computation (2009) 21:1931-1951.

In order to run this program, you have to install Java (Free download site: http://www.java.com/en/ ).

**2. Rate estimation**

**
**
with
the EM method and the Kalman filter (see ref. J. Phys.
A 38 (2005) L531-L537).

*
with the non-Gaussian filter in place of the *Kalman* filter** **(This process takes a bit more time)**.*

REFERENCES

Empirical Bayes interpretations of random point events

S. Koyama and S. Shinomoto, J. Phys. A 38 (2005) L531-L537.

Phase transitions in the estimation of event-rate: A path integral analysis

S. Koyama, T. Shimokawa and S. Shinomoto, J. Phys. A 40 (2007) F383-F390.

Estimating instantaneous irregularity of neuronal firing.

T. Shimokawa and S. Shinomoto, Neural Computation (2009) 21:1931-1951

Estimating the firing rate

S. Shinomoto, in Analysis of Parallel Spike Train Data (eds. S. Gruen and S. Rotter) (Springer, New York, 2010).

Empirical Bayes interpretations of random point events

S. Koyama and S. Shinomoto, J. Phys. A 38 (2005) L531-L537.

Phase transitions in the estimation of event-rate: A path integral analysis

S. Koyama, T. Shimokawa and S. Shinomoto, J. Phys. A 40 (2007) F383-F390.

Estimating instantaneous irregularity of neuronal firing.

T. Shimokawa and S. Shinomoto, Neural Computation (2009) 21:1931-1951

Estimating the firing rate

S. Shinomoto, in Analysis of Parallel Spike Train Data (eds. S. Gruen and S. Rotter) (Springer, New York, 2010).

Toolbox for analyzing spike data, SULAB