Alias-free sampling of neuronal spike trains

摘要: Spectral analysis provides powerful techniques for describing the lower order moments of a stochastic process and interactions between two or more processes. A major problem in application spectral to neuronal spike trains is how obtain equispaced samples which will give unbiased alias-free estimates. Various sampling methods, treat train as continuous signal, point series Dirac delta-functions, are reviewed their limitations discussed. new technique, gives estimates, described. This technique treats delta functions generates by digital filtering. Implementation this on small computer simple virtually on-line.