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Brain Res. 2018 May 1;1686:34-41. doi: 10.1016/j.brainres.2018.02.015. Epub 2018 Feb 14.

Automatic detection of the duration of visual static and dynamic stimuli.

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Royal Holloway, University of London, UK. Electronic address:
Institute of Cognitive Neuroscience, Research Centre for Natural Sciences, Hungarian Academy of Science, Hungary; Eötvös Loránd University, Budapest, Hungary.


The perception of the passing of time is fundamental to conscious experience. The duration of a sensory stimulus is one of its defining attributes, but it is not clear how this is encoded in the brain. This work explores whether the duration of a visual stimulus is an attribute that the brain can automatically adapt to and use to predict future stimulus durations. Visual mismatch negativity (vMMN) is an ERP component elicited, even when the stimuli are unattended, when an 'unexpected' visual stimulus appears amongst a series of expected stimuli in an 'oddball' paradigm. As such vMMN has been suggested to show that the violation of a pattern in a sequence has been automatically detected. To date, vMMN has only been measured to differences in the visual durations of static on/off stimuli, placed near to the centre of the visual field. Our study measures vMMN to test whether duration is encoded automatically for static stimuli against a blank background and moving stimuli against a static background, whilst attention is directed to a different spatial location using a continuous, attention demanding task. VMMN elicited in response to the shorter duration for both stimuli shows that the brain detects the differences of duration even in the absence of focussed spatial attention. For the motion stimulus a larger difference in duration was needed. We conclude that duration is encoded automatically in the visual cortex and is an attribute that can be adapted to, and form the basis of predictions.


ERP; Mismatch negativity; Time perception; Visual motion

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