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As synchronized activity is associated with basic brain functions andpathological states, spike train synchrony has become an important measure toanalyze experimental neuronal data. Many different measures of spike trainsynchrony have been proposed, but there is no gold standard allowing forcomparison of results between different experiments. This work aims to provideguidance on which synchrony measure is best suitable to quantify the effect ofepileptiform inducing substances (e.g. bicuculline (BIC)) in in vitro neuronalspike train data. Spike train data from recordings are likely to suffer fromerroneous spike detection, such as missed spikes (false negative) or noise(false positive). Therefore, different time-scale dependent (cross-correlation,mutual information, spike time tiling coefficient) and time-scale independent(Spike-contrast, phase synchronization, A-SPIKE-synchronization,A-ISI-distance, ARI-SPIKE-distance) synchrony measures were compared in termsof their robustness to erroneous spike trains. As a result of the in silicomanipulated data, Spike-contrast was the only measure being robust to falsenegative as well as false-positive spikes. Analyzing the experimental data setrevealed that all measures were able to capture the effect of BIC in astatistically significant way, with Spike-contrast showing the higheststatistical significance even at low spike detection thresholds. In summary, wesuggest the usage of Spike-contrast to complement established synchronymeasures, as it is time scale independent and robust to erroneous spike trains.

Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline induced epileptiform activity