Evidence map›Paper›PMID 31182866›Full record

ArticleNature neuroscience2019

Circuit mechanisms for the maintenance and manipulation of information in working memory.

Nicolas Y Masse, Guangyu R Yang, H Francis Song, Xiao-Jing Wang, David J Freedman

Abstract read
In one paragraph

Article in Nature neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

100 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Trajectories of Response Inhibition Development in Adolescence.bioRxiv : the preprint server for biology · 2026
    Article
  6. The cost of efficiency in flexible neural representations.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
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  11. Article
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  16. Article
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  18. Article
  19. Article
  20. Article

40 more citing papers are in PubMed but not listed here.

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

5 authors.

Nicolas Y MasseDepartment of Neurobiology, The University of Chicago, Chicago, IL, USA. masse@uchicago.edu.ORCID http://orcid.org/0000-0002-9094-1298
Guangyu R YangCenter for Neural Science, New York University, New York, NY, USA.
H Francis SongCenter for Neural Science, New York University, New York, NY, USA.
Xiao-Jing WangCenter for Neural Science, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0003-3124-8474
David J FreedmanDepartment of Neurobiology, The University of Chicago, Chicago, IL, USA. dfreedman@uchicago.edu.ORCID http://orcid.org/0000-0002-2485-5981

Funding

Neural circuit theory and trained recurrent network modeling of rapid learningU19NS107609 · NINDS · UNIVERSITY OF WASHINGTON · PI KNIGHT, ROBERT THOMAS · 2018 to 2022
$12.6M
Cortical Mechanisms of Visual Category Recognition and LearningR01EY019041 · NEI · UNIVERSITY OF CHICAGO · PI David J Freedman · 2009 to 2026
$8.5M
CRCNS: Uncovering neurla circuit mechanisms of category computation and learningR01MH092927 · NIMH · YALE UNIVERSITY · PI FREEDMAN, DAVID J, WANG, XIAO-JING · 2010 to 2014
$1.6M
NEI NIH HHS R01 EY019041NIMH NIH HHS R01 MH092927NINDS NIH HHS U19 NS107609
6 · The paper itself

Abstract

Recently it has been proposed that information in working memory (WM) may not always be stored in persistent neuronal activity but can be maintained in 'activity-silent' hidden states, such as synaptic efficacies endowed with short-term synaptic plasticity. To test this idea computationally, we investigated recurrent neural network models trained to perform several WM-dependent tasks, in which WM representation emerges from learning and is not a priori assumed to depend on self-sustained persistent activity. We found that short-term synaptic plasticity can support the short-term maintenance of information, provided that the memory delay period is sufficiently short. However, in tasks that require actively manipulating information, persistent activity naturally emerges from learning, and the amount of persistent activity scales with the degree of manipulation required. These results shed insight into the current debate on WM encoding and suggest that persistent activity can vary markedly between short-term memory tasks with different cognitive demands.

Indexed as

Computer SimulationNeural Networks, ComputerLearningMemory, Short-TermNeuronal Plasticity

Identifiers

PMID31182866
PMCPMC7321806

What OpenQuestion holds

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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.