The Two Lives of Visual Working Memory: Evidence for Distinct Conscious and Unconscious Representations.
Abstract
Visual working memory (vWM) is often linked to conscious experience and visual imagery, but it is typically described as a system that stores separate, independent items. These assumptions are difficult to reconcile, given the unified nature of conscious experience. Here, we test the hypothesis that vWM relies on at least two distinct representations: an underlying, unconscious memory trace and a consciously accessible, integrated representation. A total of 216 participants performed a change-detection task, in which they rated their perceptual awareness of the memory display during the maintenance interval. Critically, we manipulated the statistical properties of the displays (average item size and size variability) to probe sensitivity to unified ensemble-level structure. Results revealed a dissociation between subjective and objective measures. Perceptual awareness increased for displays with larger, more variable items, whereas objective performance improved for displays with smaller, less variable items. Despite this difference, subjective awareness still predicted performance, and even incorrect responses showed consistent biases rather than random guesses. Importantly, individual differences in imagery vividness (VVIQ) were selectively associated with subjective awareness and estimation bias, but not with objective correctness. These precision biases were further shaped by display statistics, suggesting that multiple representations can guide behavior. Together, our findings support a reinterpretation of vWM performance in which task responses can draw on both unconscious and consciously accessible representations. One possible explanation for these behavioral patterns is that subjective experience reflects integrated, ensemble-like representations, while objective performance depends more strongly on item-specific information. Public significance statementsWorking memory allows us to temporarily hold and use information, and differences in this ability are closely linked to broader cognitive skills such as intelligence. This study shows that these differences may not depend only on how much information people can store, but also on how they experience it: some individuals appear to rely more on consciously accessible, image-like representations, especially when memory is uncertain or prone to error. By demonstrating that subjective experience and the vividness of imagery can shape behavior independently of objective accuracy, these findings suggest that how we use memory may be as important as how much we can store, with implications for understanding individual differences in cognition.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Organism
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Is categorization in visual working memory a way to reduce mental effort? A pupillometry study
Cherie Zhou, Monicque M. Lorist, Sebastiaan Mathôt·Cognitive SciencePeer-reviewed·Sep 1, 2022
- Task-Dependent Representation of Features Binding within the Same Dimension in Visual Working Memory
R. Cao, L. Y. Deouell·bioRxiv·Dec 19, 2023
- Categorical bias as a crucial parameter in visual working memory: the effect of memory load and retention interval
Cherie Zhou, Monicque M. Lorist, Sebastiaan Mathôt·CortexPeer-reviewed·May 25, 2022
- Contributions from Long-Term Memory Explain Superior Visual Working Memory Performance with Meaningful Objects
Hyung-Bum Park, Edward Awh·Journal of NeurosciencePeer-reviewed·Jan 9, 2026
- Concurrent visual working memory biasin sequential integration of approximate number
Zhiqi Kang, Bernhard Spitzer·Scientific ReportsPeer-reviewed·Mar 5, 2021
- Task-irrelevant features in working memory alter current visual processing
Hongqiao Shi, Qiqi Zhang, … Ya Li·Journal of Experimental Psychology Learning Memory and CognitionPeer-reviewed·Oct 30, 2025