September 2024
Volume 24, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2024
The rise and fall of memories: Temporal dynamics of visual working memory
Author Affiliations & Notes
  • Andre Sahakian
    Utrecht University
  • Surya Gayet
    Utrecht University
  • Chris L.E. Paffen
    Utrecht University
  • Stefan Van der Stigchel
    Utrecht University
  • Footnotes
    Acknowledgements  This project was supported by an ERC Consolidator Grant [grant number ERC-CoG-863732] to Stefan Van der Stigchel, and a Veni grant from Netherlands Organisation for Scientific Research (NWO) [grant number: Vl.Veni.191G.085] to Surya Gayet.
Journal of Vision September 2024, Vol.24, 936. doi:https://doi.org/10.1167/jov.24.10.936
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      Andre Sahakian, Surya Gayet, Chris L.E. Paffen, Stefan Van der Stigchel; The rise and fall of memories: Temporal dynamics of visual working memory. Journal of Vision 2024;24(10):936. https://doi.org/10.1167/jov.24.10.936.

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

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Abstract

Visual working memory (VWM) temporarily stores task-relevant visual information to enable interactions with the environment. VWM is typically studied in temporally rigid paradigms in which memory arrays (viewing time) and retention intervals (the delay to the probe) are determined by the experimenter, and are often kept constant. In everyday VWM use, however, there is huge variation in (1) how long we look at things to put them in memory, and (2) how much time passes before we act on the memory. The temporal variations in both viewing times and delays depend on many internal (e.g., strategy, resources) and external factors (e.g., stimulus availability, physical constraints). Here, we ask how the recall performance of VWM content develops across these two orthogonal temporal dimensions: how do memories build up over viewing time and how do they decay over increasing delay periods? We employed a copying task, in which participants were tasked to recreate an “example” arrangement of items in an adjacent empty “workspace”. We tracked their unconstrained viewing and copying behavior at the level of individual items, recording how long items were viewed, and how much time passed before they were placed. Our results show that performance monotonically increased for viewing times up to one second (per item), but plateaued afterwards. Interestingly, while inspections exceeding one second did not improve performance for short (two second) delays much, inspections beyond one second did improve performance for longer delays. Our findings suggest that usable representations are produced quickly, while longer inspections make representations more resilient against decay. Likely, the natural variations partly arise due to strategic use of time and VWM resources in everyday behavior: when information needs to be applied immediately, a quick look should suffice, but when the use will be delayed, looking for longer might be worth the time investment.

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