ArticleScience advances2025
Neural mechanisms of resource allocation in working memory.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Estimating trial-wise modulation of functional connectivity using event-related fMRI.bioRxiv : the preprint server for biology · 2026Article
- Transfer Effects of Integrated Adaptive Working Memory Training in School-Age Children: Improvements in Inhibitory Control and Asymmetric Gains in Mathematical Abilities.Journal of Intelligence · 2026Article
- Visual field map size constrains working memory precision.bioRxiv : the preprint server for biology · 2026Article
- Spatial reorganization of object representations in high-level visual cortex distinguishes working memory from perception.Science advances · 2026Article
- Distilling noise characteristics and prior expectations in multisensory causal inference.PLoS computational biology · 2026Article
- Dynamics of working memory drift and information flow across the cortical hierarchy.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Research progress on the role of the locus coeruleus in cognitive function.Frontiers in human neuroscience · 2026Review
- Sensory reformatting for a working visual memory.Trends in cognitive sciences · 2025Review
- Frontoparietal Hubs Leverage Probabilistic Representations and Integrated Uncertainty to Guide Cognitive Flexibility.bioRxiv : the preprint server for biology · 2025Article
- Prioritizing working memory resources depends on prefrontal cortex.bioRxiv : the preprint server for biology · 2024Article
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5 authors.
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Abstract
To mitigate capacity limits of working memory, people allocate resources according to an item's relevance. However, the neural mechanisms supporting such a critical operation remain unknown. Here, we developed computational neuroimaging methods to decode and demix neural responses associated with multiple items in working memory with different priorities. In striate and extrastriate cortex, the gain of neural responses tracked the priority of memoranda. We decoded higher-priority memoranda with smaller error and lower uncertainty. Moreover, these neural differences predicted behavioral differences in memory prioritization between and within participants. Trial-wise variability in the magnitude of delay activity in the frontal cortex predicted differences in decoded precision between low- and high-priority items in visual cortex. These results support a model in which feedback signals broadcast from frontal cortex sculpt the gain of memory representations in the visual cortex according to behavioral relevance, thus identifying a neural mechanism for resource allocation.
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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.