July 2013
Volume 13, Issue 9
Vision Sciences Society Annual Meeting Abstract  |   July 2013
Decoding trial by trial variations in VWM performance from oscillatory activity during maintenance.
Author Affiliations
  • Irida Mance
    Department of Psychology, University of Oregon
  • Keisuke Fukuda
    Department of Psychological Sciences, Vanderbilt University
  • Edward Vogel
    Department of Psychology, University of Oregon
Journal of Vision July 2013, Vol.13, 18. doi:https://doi.org/10.1167/13.9.18
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      Irida Mance, Keisuke Fukuda, Edward Vogel; Decoding trial by trial variations in VWM performance from oscillatory activity during maintenance.. Journal of Vision 2013;13(9):18. https://doi.org/10.1167/13.9.18.

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

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Visual short term memory (VSTM) allows us to maintain a handful of representations in a highly accessible state. While this capacity limited system is well known to vary systematically between individuals, the within-individual variability of memory capacity is not well characterized. This stems from the prevalent use of partial report tasks such as change detection and cued recall tasks, in which only a single item from an array is probed. These procedures make it challenging to quantify the amount of information available in memory from individual trials. Here we examined within-subject variability using a whole report task, in which subjects reported the color and orientation of each item of the array after a memory delay. Our behavioral results indicated that while the modal number of items correctly recalled was three items, there was a substantial proportion of trials in which subjects recalled fewer or greater than this mode. We also recorded EEG from subjects during the task to examine whether the observed within-subject variability in performance reflected trial-by-trial variation in neural activity during the maintenance period. Time-frequency analyses of the EEG indicated that average power in the 8-22 Hz band during maintenance decreased as a function of the number of items in the array, reaching an asymptote at approximately 3 items. We used a linear classifier on the bandpassed individual trial EEG during the retention period and found that it could reliably distinguish the upcoming behavioral outcome on that trial (1,2 or 3 correct out of 6 items). Our results suggest that memory capacity is not fixed across trials and that this trial-by-trial variability is driven in part by variations in the sustained 8-22hz desynchronization during memory maintenance.

Meeting abstract presented at VSS 2013


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