September 2021
Volume 21, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2021
Perceiving what is not there: Distractor intrusions accounted for by a computational model.
Author Affiliations
  • Mahan Hosseini
    University of Kent, Canterbury
  • Srivas Chennu
    University of Kent, Canterbury
  • Alon Zivony
    Birkbeck College, University of London, London
  • Brad Wyble
    Pennsylvania State University
  • Martin Eimer
    Birkbeck College, University of London, London
  • Howard Bowman
    University of Kent, Canterbury
    University of Birmingham, Birmingham
Journal of Vision September 2021, Vol.21, 2016. doi:https://doi.org/10.1167/jov.21.9.2016
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      Mahan Hosseini, Srivas Chennu, Alon Zivony, Brad Wyble, Martin Eimer, Howard Bowman; Perceiving what is not there: Distractor intrusions accounted for by a computational model.. Journal of Vision 2021;21(9):2016. doi: https://doi.org/10.1167/jov.21.9.2016.

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

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Abstract

Intrusions are intriguing errors in which subjects report that a feature of a distractor stimulus belonged to a target. These errors can occur in a specific type of rapid serial visual presentation (RSVP) experiment in which all stimuli carry two features. A stimulus-stream in such an experiment could consist of coloured letters and a typical task would be to report the identity of the stream’s red letter. In this context, the feature that distinguishes target- from distractor-stimuli is called the key-feature (e.g. colour) and the feature that must be reported after each trial is called the response-feature (e.g. identity). Intrusions happen when, instead of the response feature of the target, that of a temporally neighbouring distractor is reported. For example, if the stream consisted of a blue S, a red E and a black P, and the task was to report the red letter, subjects would regularly report seeing the P as being red. Explanations of intrusions in previous research have typically only been informal in nature and the models available do not offer complete explanations. We present a computational model, which replicates response distributions of several experiments, for example after different empirical manipulations of key- & response-feature processing speeds. Our model additionally replicates counterintuitive reaction-time patterns and very recent Event Related Potential findings associated with the N2pc and P3. We further demonstrate, empirically, that the N2pc and P3 are temporally correlated components, which supports a hypothesis implied by our model-architecture. We propose that illusory intrusions are the result of mis-bindings of stimulus features to working-memory encoding episodes. The likelihood of intrusions is dependent on the relative timing between key- and response-feature processing, which opposes models that proposed correct percepts and intrusions are processed in a qualitatively different manner. Thus, in our model, correct bindings are just “fortunate” conjunctions.

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