Latency jitter refers to the phenomenon that an ERP component appears at various time in different trials, without adjusting this difference when averaging across trials will lead to diminished ERP (reducing the peak). Peak-picking (Spencer, Abad & Donchin, 2000) and Woody filter described in Woody (1967) are the ones I can find. Do you know of other methods to address the latency jitter problem?

A graph of latency jitter in ERPs:

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  1. Spencer, K., Abad, E, & Donchin, E. (2000) On the search for the neurophysiological manifestation of recollective experience. Psychophysiology, 37, 494-506
  2. Woody, C. D. (1967). Characterization of an adaptive filter for the analysis of variable latency neuroelectric signals. Medical and biological engineering,5(6), 539-554
  • $\begingroup$ Interesting question, but why would you want to correct for temporal jitter? Nowadays all high-end systems have millisecond precision right? $\endgroup$ Aug 30 '16 at 11:06
  • $\begingroup$ The ERPs, neural signals generated in the brain occur independently from the system. To correct its latency is in order to have an accurate representation of it when averaging it across trials. $\endgroup$
    – Sophy
    Aug 30 '16 at 18:54
  • $\begingroup$ So am I correct you are talking about physiological latency variability and not about hardware synchronization? $\endgroup$
    – AliceD
    Aug 31 '16 at 7:08
  • $\begingroup$ yes, you are right! it's about physiological latency variability, not about hardware. $\endgroup$
    – Sophy
    Aug 31 '16 at 17:32
  • $\begingroup$ I know that this paper corrected for (hardware) temporal jitter. Perhaps it may be of use. $\endgroup$ Sep 1 '16 at 8:55

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