Abstract
We introduce a new correlation-based measure of spike timing reliability. Unlike other measures, it does not require the definition of “events”. It relies on only one parameter, which directly relates to the timescale of spike timing precision. We test the measure in a complex reliability classification task, where model neurons of different dynamics are driven by stimuli with different frequency content and amplitudes. We find that the measure is efficient and faithful in characterizing spike timing reliability, and that it performs as well as the widely used histogram-based measures.
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