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J Comput Neurosci. 2007 Feb;22(1):5-19. Epub 2006 Sep 19.

Non-parametric detection of temporal order across pairwise measurements of time delays.

Author information

1
Max-Planck-Institute for Brain Research, Deutschordenstr. 46, D-60528, Frankfurt am Main, Germany. danko@mpih-frankfurt.mpg.de

Abstract

Neuronal synchronization is often associated with small time delays, and these delays can change as a function of stimulus properties. Investigation of time delays can be cumbersome if the activity of a large number of neurons is recorded simultaneously and neuronal synchronization is measured in a pairwise manner (such as the cross-correlation histograms) because the number of pairwise measurements increases quadratically. Here, a non-parametric statistical test is proposed with which one can investigate (i) the consistency of the delays across a large number of pairwise measurements and (ii) the consistency of the changes in the time delays as a function of experimental conditions. The test can be classified as non-parametric because it takes into account only the directions of the delays and thus, does not make assumptions about the distributions and the variances of the measurement errors.

PMID:
16998643
DOI:
10.1007/s10827-006-9441-7
[Indexed for MEDLINE]

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