September 2019
Volume 19, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   May 2019
Information processing architectures across the visual field: an EEG study
Author Affiliations & Notes
  • Gaojie Fan
    Psychology, Miami University
  • Gamble Heather
    Psychology, Miami University
  • Robin Thomas
    Psychology, Miami University
Journal of Vision May 2019, Vol.19, 316a. doi:
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      Gaojie Fan, Gamble Heather, Robin Thomas; Information processing architectures across the visual field: an EEG study. Journal of Vision 2019;19(10):316a.

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

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How people combine and utilize information from different sources during cognitive processing has always been an interesting topic in visual research. Frameworks such as Systems Factorial Technology (SFT) have been developed to study this process. By using a variety of non-parametric analyses such as mean interaction contrast and survivor interaction contrast, SFT can distinguish between types of information processing architectures (mainly parallel and serial) as well as stopping rules (mainly exhaustive and self-terminating). However, most of these frameworks utilize behavioral data for model building and psychophysiological activities underlying the models are not commonly examined. The present study aims at both extending SFT with similar visual stimuli presented in bilateral visual fields, and examining the brain activities by looking at ERPs and continuous EEG data. We expect to see we expect to see different patterns of architectures and stopping rules when the location of stimuli varies, and we also expect to see different patterns of psychophysiological activities from different conditions.


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