ArticlePLoS computational biology2026
Beyond memory capacity: A probabilistic, dual store model of visuospatial working memory.
Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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4 authors.
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Abstract
The last decades have seen a great improvement in our understanding of visuospatial working memory (VSWM). Despite this progress, less is known about how information is stored, retained, and removed from VSWM when novel information is presented sequentially. Here, we present a novel computational model of the dynamics of VSWM that extends and improves classical ideas. Our analysis relies on data from three clinical trials involving neurotypicals and people with autism performing a smartphone based sequential VSWM task. In addition, we applied the model to data from a large clinical trial in prodromal Alzheimer's disease. We demonstrate that visual information in our sequential task is stored in independent pools of contrasting resources, with perfect and imperfect retrieval rates. Our findings illustrate how computational models combined with remote cognitive testing are mature enough for applications in large-scale clinical research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.