Evidence map›Paper›PMID 41576068›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Dynamics of working memory drift and information flow across the cortical hierarchy.

Hsin-Hung Li, Wei Ji Ma, Clayton E Curtis

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hsin-Hung LiDepartment of Psychology, New York University, New York, NY 10003.ORCID 0000-0003-3245-2071
Wei Ji MaDepartment of Psychology, New York University, New York, NY 10003.ORCID 0000-0002-9835-9083
Clayton E CurtisDepartment of Psychology, New York University, New York, NY 10003.ORCID 0000-0003-0702-1499

Funding

Putting Priority Map Theory to the TestR01EY016407 · NEI · NEW YORK UNIVERSITY · PI CURTIS, CLAYTON E · 2006 to 2023
$5.8M
The Nature of Working Memory RepresentationsR01EY033925 · NEI · NEW YORK UNIVERSITY · PI CURTIS, CLAYTON E · 2022 to 2025
$1.5M
Neural decoding of working memoryR01EY027925 · NEI · NEW YORK UNIVERSITY · PI CURTIS, CLAYTON E, MA, WEI JI · 2017 to 2020
$1.3M
HHS | NIH | National Eye Institute (NEI) R01EY- 016407HHS | NIH | National Eye Institute (NEI) R01EY-027925HHS | NIH | National Eye Institute (NEI) R01EY-033925NEI NIH HHS R01 EY016407NEI NIH HHS R01 EY027925NEI NIH HHS R01 EY033925
6 · The paper itself

Abstract

Working memory is supported by widespread and distributed brain regions spanning across the cortical hierarchy. However, how working memory content evolves and is transmitted across cortical regions remains largely unknown. Here, we investigated the flow of working memory information across the cortex using time-resolved fMRI decoding. Across multiple regions in visual and parietal cortex, we found that decoded working memory content drifted over time from the memoranda toward the later errors in memory reports, consistent with the dynamics of memory drift predicted by attractor models. These behaviorally predictive neural memory errors emerged earliest in higher-order dorsal visual area (V3AB) and intraparietal sulcus (IPS0) and then later in early visual cortex (V1), suggesting a propagation of mnemonic information originated in higher-level visual area. Interareal correlation analyses revealed that during memory maintenance, information flowed predominantly in a top-down manner-from higher to lower visual areas, whereas during passive viewing, feedforward dynamics prevailed. Together, our findings demonstrate that working memory maintenance involves temporally structured drift dynamics and feedback-dominated information flow across the cortical hierarchy, providing a mechanistic link between neural population dynamics and the formation of memory errors.

Indexed as

Memory, Short-TermParietal LobeVisual CortexBrain MappingFemaleHumansMagnetic Resonance ImagingMaledynamicsfMRIvisual cortexworking memory

Identifiers

PMID41576068
PMCPMC12846794

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Registered trials

None linked

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.