[Comp-neuro] Paper and MATLAB source codes on spike train synchrony

Thomas Kreuz thomaskreuz at yahoo.de
Mon Jan 10 14:34:32 CET 2011

Dear all,
May I kindly draw your attention to our new paper and new MATLAB source codes on 
spike train synchrony?
 Time-resolved and time-scale adaptive measures of spike train synchrony 
Thomas Kreuz, Daniel Chicharro, Martin Greschner and Ralph G. Andrzejak
Journal of Neuroscience Methods 195, 92-106 (2011)
Alternatively you can also find the paper on the arXiv:


Data analysis, Spike train synchrony, Stimulus dependent clustering, Neuronal 
A wide variety of approaches to estimate the degree of synchrony between two or 
more spike trains have been proposed. One of the most recent methods is the 
ISI-distance which extracts information from the interspike intervals (ISIs) by 
evaluating the ratio of the instantaneous firing rates. In contrast to most 
previously proposed measures it is parameter free and time-scale independent. 
However, it is not well suited to track changes in synchrony that are based on 
spike coincidences. Here we propose the SPIKE-distance, a complementary measure 
which is sensitive to spike coincidences but still shares the fundamental 
advantages of the ISI-distance. In particular, it is easy to visualize in a 
time-resolved manner and can be extended to a method that is also applicable to 
larger sets of spike trains. We show the merit of the SPIKE-distance using both 
simulated and real data.
The MATLAB source code for calculating and visualizing the ISI- and the 
SPIKE-distance as well as their extensions can be downloaded at

[Note that since our last paper the webpage has moved from my previous institute 
(Institute for nonlinear science, INLS) at UCSD, La Jolla, Ca, USA, to my 
current institute (Institute for complex systems, ISC) in Florence, Italy.]
If you want to receive further information on updates of the source codes please 
send me your email and I will keep you posted and share the latest developments 
with you.

Thank you for your interest in our work. Any feedback (on both the paper and the 
source codes) is very welcome.
Best regards,
Thomas Kreuz

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