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    The VESPA: A method for the rapid estimation of a visual evoked potential


    Lalor, Edmund C., Pearlmutter, Barak A., Reilly, Richard B., McDarby, Gary and Foxe, John J. (2006) The VESPA: A method for the rapid estimation of a visual evoked potential. NeuroImage, 32 (4). pp. 1549-1561. ISSN 1053-8119

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    Abstract

    Faster and less obtrusive means for measuring a Visual Evoked Potential would be valuable in clinical testing and basic neuroscience research. This study presents a method for accomplishing this by smoothly modulating the luminance of a visual stimulus using a stochastic process. Despite its visually unobtrusive nature, the rich statistical structure of the stimulus enables rapid estimation of the visual system's impulse response. The profile of these responses, which we call VESPAs, correlates with standard VEPs, with r=0.91, p<10−28 for the group average. The time taken to obtain a VESPA with a given signal-to-noise ratio compares favorably to that required to obtain a VEP with a similar level of certainty. Additionally, we show that VESPA responses to two independent stimuli can be obtained simultaneously, which could drastically reduce the time required to collect responses to multiple stimuli. The new method appears to provide a useful alternative to standard VEP methods, and to have potential application both in clinical practice and to the study of sensory and perceptual functions.
    Item Type: Article
    Keywords: EEG; Visual evoked potential; Experimental design; System identification; Magnocellular; Striate cortex;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 5537
    Identification Number: 10.1016/j.neuroimage.2006.05.054
    Depositing User: Barak Pearlmutter
    Date Deposited: 04 Nov 2014 10:55
    Journal or Publication Title: NeuroImage
    Publisher: Elsevier
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/5537
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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