The impact of dimension switching on visual short term memory

Visual short-term memory (vSTM) refers to the subset of the cognitive system responsible for storing visual information over short periods of time. While much research has focussed on its capacity limitations, less is known about how vSTM operates in dynamic environments where priorities shift across feature dimensions. In this study, we bridge research on vSTM and cognitive control by embedding change detection (Experiments 1 and 2) and delayed estimation (Experiment 3) paradigms within a task switching paradigm, where the relevant feature dimension (colour or orientation) either repeated or switched across trials. Across all experiments we observed a cost to vSTM performance on switch relative to repetition trials. Mixture modelling of delayed estimation responses revealed that these switch costs were not due to reduced memory precision or memory failures, but rather to a selective increase in non-target responses reflecting feature--location binding errors. We propose that dimension switching selectively impairs the binding of feature values to locations and allows interference from irrelevant (but recently attended) feature dimensions. Our findings demonstrate that vSTM is sensitive to failures of attentional control, not just capacity limits.

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Publication Details

Published
2025-09-19
DOI
https://doi.org/10.31234/osf.io/7rnz2_v3
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
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article

The impact of dimension switching on visual short term memory

Stuart Bryan Moore, Jim Grange
Neural Networks and Applications
article

The impact of dimension switching on visual short term memory

Stuart Bryan Moore, Jim Grange
article en

Abstract

Visual short-term memory (vSTM) refers to the subset of the cognitive system responsible for storing visual information over short periods of time. While much research has focussed on its capacity limitations, less is known about how vSTM operates in dynamic environments where priorities shift across feature dimensions. In this study, we bridge research on vSTM and cognitive control by embedding change detection (Experiments 1 and 2) and delayed estimation (Experiment 3) paradigms within a task switching paradigm, where the relevant feature dimension (colour or orientation) either repeated or switched across trials. Across all experiments we observed a cost to vSTM performance on switch relative to repetition trials. Mixture modelling of delayed estimation responses revealed that these switch costs were not due to reduced memory precision or memory failures, but rather to a selective increase in non-target responses reflecting feature--location binding errors. We propose that dimension switching selectively impairs the binding of feature values to locations and allows interference from irrelevant (but recently attended) feature dimensions. Our findings demonstrate that vSTM is sensitive to failures of attentional control, not just capacity limits.

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Neural Networks and Applications
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