September 2017
Volume 17, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2017
Evoked neural response variability predicts poor timing precision
Author Affiliations
  • Derek Arnold
    School of Psychology, The University of Queensland
  • Natasha Mathews
    School of Psychology, The University of Queensland
  • Brendan Keane
    School of Psychology, The University of Queensland
  • Kielan Yarrow
    Department of Psychology, City University London
Journal of Vision August 2017, Vol.17, 733. doi:
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      Derek Arnold, Natasha Mathews, Brendan Keane, Kielan Yarrow; Evoked neural response variability predicts poor timing precision. Journal of Vision 2017;17(10):733.

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      © ARVO (1962-2015); The Authors (2016-present)

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The neural processes underlying human timing sensitivity, and its variance, remain poorly understood. One possibility is that relative timing is encoded in terms of when signals reach some critical structure(s) in the brain. This possibility, often called 'brain time', remains controversial. According to the brain time hypothesis, variable encoding dynamics from trial to trial should result in variable decisions being made about the timings of identical stimulations, resulting in imprecision. To assess this possibility, we measured the dynamics of audio and visual evoked brain activity, using electroencephalography, to see if these could predict audio-visual timing precision. We found that the precision of an individuals' audio-visual timing decisions could be predicted by the degree of inter-trial variance in their evoked brain activity following identical stimulations. The relevant variance was distinct, detectable from specific sensors, and it did not predict control task performances – judgments of visual pattern frequency or auditory signal origin. These results are consistent with the brain time hypothesis. They are broadly inconsistent with philosophically inspired accounts, which suggest that human timing is shaped by compensatory strategies that counter the influence of brain dynamics.

Meeting abstract presented at VSS 2017


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