December 2022
Volume 22, Issue 14
Open Access
Vision Sciences Society Annual Meeting Abstract  |   December 2022
Tracking induced forgetting across both strong and weak memory representations to test competing theories of forgetting
Author Affiliations
  • Zara Joykutty
    Vanderbilt University
  • Emma Megla
    University of Chicago
  • Ashleigh M. Maxcey
    Vanderbilt University
Journal of Vision December 2022, Vol.22, 4026. doi:https://doi.org/10.1167/jov.22.14.4026
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      Zara Joykutty, Emma Megla, Ashleigh M. Maxcey; Tracking induced forgetting across both strong and weak memory representations to test competing theories of forgetting. Journal of Vision 2022;22(14):4026. https://doi.org/10.1167/jov.22.14.4026.

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

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Abstract

Here we employ a novel analysis to address the question: what causes induced forgetting of pictures? We use baseline memorability as a measure of initial memory strength to ask whether induced forgetting is due to (1) recognition practice damaging the association between the memory representation and the category cue used to activate the representation, (2) the updating of a memory trace by incorporating information about a memory probe presented during recognition practice to the stored trace, (3) inhibitory mechanisms used to resolve the conflict created when correctly selecting the practiced item activates competing exemplars, (4) a global matching model in which repeating some items will hurt memory for other items, or (5) falling into the zone of destruction, where a moderate amount of activation leads to the highest degree of forgetting. None of the accounts of forgetting tested here can comprehensively account for both the novel analyses reported here and previous data using the induced forgetting paradigm. We discuss aspects of forgetting theories that are consistent with the novel analyses and existing data, a potential solution for existing models, proposals for future directions, and considerations when incorporating memorability into models of memory.

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