Time-resolved and parameter-free measures of spike train synchrony: properties and applications

The relevance of exact spike timings in neural coding was presumed since a long time and has now been experimentally established, see e.g. in [1,2]. A popular approach to the analysis of spike timings is to measure the synchrony of spike trains. With the recent advancements of the experimental techniques, it is now possible to simultaneously record the activity of hundreds of neurons. The analysis of such collective responses requires new mathematical tools that are able to detect synchrony in groups of spike trains. Here, we present three methods to quantify spike train synchrony that are applicable in such multivariate situations. All of these methods are parameter-free and time-resolved which makes them easy to handle and able to detect temporal changes of synchrony.Specifically, we discuss the ISI-distance [3], the SPIKE-distance [4] and the very recently proposed SPIKE-Synchronization [5]. The ISI-distance is based on the relative differences of interspike intervals, while the SPIKE-distance uses exact spike timings. SPIKE-Synchronization can be understood as a time-resolved, spike-wise coincidence detector. Figure 1 shows exemplarily the time-resolved profiles of all three methods for 50 artificially created spike trains.