Bayesian estimation of the firing rate Version 2.3: Sept. 15th 2010

This program was created by Takeaki Shimokawa in collaboration with Shigeru Shinomoto, based on the theory published in
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/ ).


1. Copy-and-paste spike times


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).

3. Output data sheets

You may obtain the list of {time, estimated rate}, with which you can draw the spike rate of your data.

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).



Toolbox for analyzing spike data, SULAB