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Modeling metacontrast masking with varying target and mask durations
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Bridgeman, Bruce, DiLollo, V., Enns, J. and von Mühlenen, Adrian (2004) Modeling metacontrast masking with varying target and mask durations. In: Vision Sciences Society Meeting, 2004, Sarasota, FL, 30 Apr - 5 May 2004. Published in: Journal of Vision, Volume 4 (Number 8). Article number 73. doi:10.1167/4.8.73 ISSN 1534-7362.
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Official URL: http://dx.doi.org/10.1167/4.8.73
Abstract
In metacontrast, a target is rendered invisible by a surrounding mask that appears after the target's offset, providing a tool for investigating temporal aspects of visual coding. Previous manipulations of target and mask duration have used constant stimulus intensity, so that longer-lasting stimuli appear brighter. When brightness is controlled by compensating longer duration with lower intensity, increasing target duration has little effect on U-shaped metacontrast, but increasing mask duration monotonically decreases target visibility when the mask follows a 10 msec target immediately. These results were simulated with four models: efficient masking (Francis), decaying-trace (Anbar & Anbar), two-channel (Weisstein, 1968), and lateral inhibition (Bridgeman). Using parameters in each model that had successfully simulated metacontrast in the past, the efficient masking model yielded a monotonically increasing function of visibility in as target duration increased, while the other models gave U-shaped functions. Testing the remaining models in the increasing mask duration experiment, the decaying-trace model gave an increasing function where the psychophysics showed a decreasing function, the two-channel model showed a plateau of high visibility at low mask duration while the psychophysical function began declining immediately, and the lateral inhibition model accurately simulated the results. We also tested a recurrent processing model (DiLollo, Enns & Rensink), which did well here but does not have the parameters to test the target-duration condition. The lateral inhibition model performed best overall, perhaps because it relies on distributed coding rather than discrete detectors to simulate target visibility. In a single layer of simulated neurons, each cell inhibits six near neighbors; secondary interactions spread stimulus-specific activity across the network.
Item Type: | Conference Item (Paper) | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Psychology | ||||||
Journal or Publication Title: | Journal of Vision | ||||||
Publisher: | Association for Research in Vision and Ophthalmology | ||||||
ISSN: | 1534-7362 | ||||||
Official Date: | 13 August 2004 | ||||||
Dates: |
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Volume: | Volume 4 | ||||||
Number: | Number 8 | ||||||
Page Range: | Article number 73 | ||||||
DOI: | 10.1167/4.8.73 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Description: | Journal item abstract only |
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Conference Paper Type: | Paper | ||||||
Title of Event: | Vision Sciences Society Meeting, 2004 | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Sarasota, FL | ||||||
Date(s) of Event: | 30 Apr - 5 May 2004 |
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