SULAB: Optimizing time histograms for non-Poissonian spike trains.

[version 1.3, 2017/07/09] This program was created by Takahiro Omi in collaboration with Shigeru Shinomoto based on the theory published in T. Omi and S. Shinomoto, "Optimizing time histograms for non-Poissonian spike trains", Neural Computation (2012) [PDF].

[Web Application]

1. Copy-and-paste spike times.  
    
    (Please list them in increasing order, separated by a comma or a space.)

2. Obtain the optimal bin-size.  




3. Output data sheet.  

[Computational Step]

    
    [Note] The Poissonian optimiztion method is obtained by simply replacing step 2 with F=1.

Matlab code: hist_np.m

Reference: T. Omi and S. Shinomoto, "Optimizing time histograms for non-Poissonian spike trains", Neural Computation 23, 3125 (2011) [PDF].


If you have any questions, or have suggestions for improving the programs, please contact Shigeru Shinomoto, who is conducting these studies.
Toolbox for analyzing spike data, SULAB