文化大學機構典藏 CCUR:Item 987654321/49479
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 46833/50693 (92%)
Visitors : 11847319      Online Users : 523
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/49479


    Title: Decoding chromaticity and luminance from patterns of EEG activity
    Authors: Sutterer, DW (Sutterer, David W.)
    Coia, AJ (Coia, Andrew J.)
    Sun, V (Sun, Vincent)
    Shevell, SK (Shevell, Steven K.)
    Awh, E (Awh, Edward)
    Contributors: 資傳系
    Keywords: chromaticity
    color vision
    multivariate pattern analysis
    visual evoked potential
    Date: 2021-04
    Issue Date: 2021-04-14 15:51:37 (UTC+8)
    Abstract: A long-standing question in the field of vision research is whether scalp-recorded EEG activity contains sufficient information to identify stimulus chromaticity. Recent multivariate work suggests that it is possible to decode which chromaticity an observer is viewing from the multielectrode pattern of EEG activity. There is debate, however, about whether the claimed effects of stimulus chromaticity on visual evoked potentials (VEPs) are instead caused by unequal stimulus luminances, which are achromatic differences. Here, we tested whether stimulus chromaticity could be decoded when potential confounds with luminance were minimized by (1) equating chromatic stimuli in luminance using heterochromatic flicker photometry for each observer and (2) independently varying the chromaticity and luminance of target stimuli, enabling us to test whether the pattern for a given chromaticity generalized across wide variations in luminance. We also tested whether luminance variations can be decoded from the topography of voltage across the scalp. In Experiment 1, we presented two chromaticities (appearing red and green) at three luminance levels during separate trials. In Experiment 2, we presented four chromaticities (appearing red, orange, yellow, and green) at two luminance levels. Using a pattern classifier and the multielectrode pattern of EEG activity, we were able to accurately decode the chromaticity and luminance level of each stimulus. Furthermore, we were able to decode stimulus chromaticity when we trained the classifier on chromaticities presented at one luminance level and tested at a different luminance level. Thus, EEG topography contains robust information regarding stimulus chromaticity, despite large variations in stimulus luminance.
    Relation: PSYCHOPHYSIOLOGY 卷冊: 58 期: 4 文獻號碼: e13779
    Appears in Collections:[Department of Information Communications & Graduate Institute of Information Communications ] journal articles

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML267View/Open


    All items in CCUR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback