Statistical bootstrapping validates periodicity detection in neural spike-interval data

Evidence

We applied a “periodicity-sieve” analysis to the correlograms to estimate the dominant period(s) in the inter-spike-interval statistics (e.g., Larsen et al. 2008 ); yielding template-contrast functions . To assess the statistical significance of peaks in the template-contrast function we used a bootstrap technique (permutation analysis; 1000 replications: p < 0.01 considered significant). — Dijk, Pim van, Physiology, Psychoacoustics and…, 5044

Categorization

• DEFINE: Defines ‘template-contrast functions’ as outputs of periodicity-sieve analysis on correlograms.