Evidence map›Paper›PMID 34583956›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2021

A Stable Population Code for Attention in Prefrontal Cortex Leads a Dynamic Attention Code in Visual Cortex.

Adam C Snyder, Byron M Yu, Matthew A Smith

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Robustness of Working Memory to Prefrontal Cortex Microstimulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  7. Article
  8. Article
  9. Neural Dynamics in Extrastriate Cortex Underlying False Alarms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Robustness of working memory to prefrontal cortex microstimulation.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Adam C SnyderDepartment of Brain and Cognitive Sciences, Department of Neuroscience, and Center for Visual Science, University of Rochester, Rochester, New York 14627-0268 adam.snyder@rochester.edu.
Byron M YuDepartments of Electrical and Computer Engineering and Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213.ORCID 0000-0003-2252-6938
Matthew A SmithDepartment of Biomedical Engineering, Neuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213.ORCID 0000-0003-1192-9942

Funding

Virus Production and Manipulation of Protein/Gene Expression ModuleP30EY008098 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ethan A Rossi · 1989 to 2026
$17.8M
Shaping Neural Population Dynamics to Facilitate LearningR01HD071686 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BATISTA, AARON PAUL, CHASE, STEVEN M · 2011 to 2021
$3.7M
Interrogating and Perturbing Neural DynamicsR01NS105318 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aaron Paul Batista, Steven M Chase · 2017 to 2026
$2.3M
Slow time scale fluctuations in neurons and behaviorR01MH128393 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI MATTHEW A SMITH · 2022 to 2026
$2.2M
Dynamic Mechanisms of active vision in prefrontal cortexR01EY022928 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMITH, MATTHEW A · 2014 to 2018
$1.9M
CRCNS: Modulating Neural Population Interactions between Cortical AreasR01MH118929 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI SMITH, MATTHEW A, YU, BYRON M. · 2018 to 2022
$1.7M
Dynamic population codes for perceptionR01EY029250 · NEI · CARNEGIE-MELLON UNIVERSITY · PI SMITH, MATTHEW A · 2020 to 2023
$1.3M
Neuronal population dynamics within and across cortical areasR01EB026953 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOIRON, BRENT D., SMITH, MATTHEW A · 2018 to 2020
$1.0M
CRCNS: Interhemispheric coordination for memory and actionR01NS147766 · NINDS · CARNEGIE-MELLON UNIVERSITY · PI Joseph Patrick Mayo, MATTHEW A SMITH · 2025 to 2026
$750k
High-dimensional analysis of selective visual attention mechanismsR00EY025768 · NEI · UNIVERSITY OF ROCHESTER · PI SNYDER, ADAM CHRISTOPHER · 2018 to 2020
$744k
NEI NIH HHS P30 EY008098NEI NIH HHS R00 EY025768NEI NIH HHS R01 EY022928NEI NIH HHS R01 EY029250NIBIB NIH HHS R01 EB026953NICHD NIH HHS R01 HD071686NIMH NIH HHS R01 MH118929NIMH NIH HHS R01 MH128393NINDS NIH HHS R01 NS105318NINDS NIH HHS R01 NS147766
6 · The paper itself

Abstract

Attention often requires maintaining a stable mental state over time while simultaneously improving perceptual sensitivity. These requirements place conflicting demands on neural populations, as sensitivity implies a robust response to perturbation by incoming stimuli, which is antithetical to stability. Functional specialization of cortical areas provides one potential mechanism to resolve this conflict. We reasoned that attention signals in executive control areas might be highly stable over time, reflecting maintenance of the cognitive state, thereby freeing up sensory areas to be more sensitive to sensory input (i.e., unstable), which would be reflected by more dynamic attention signals in those areas. To test these predictions, we simultaneously recorded neural populations in prefrontal cortex (PFC) and visual cortical area V4 in rhesus macaque monkeys performing an endogenous spatial selective attention task. Using a decoding approach, we found that the neural code for attention states in PFC was substantially more stable over time compared with the attention code in V4 on a moment-by-moment basis, in line with our guiding thesis. Moreover, attention signals in PFC predicted the future attention state of V4 better than vice versa, consistent with a top-down role for PFC in attention. These results suggest a functional specialization of attention mechanisms across cortical areas with a division of labor. PFC signals the cognitive state and maintains this state stably over time, whereas V4 responds to sensory input in a manner dynamically modulated by that cognitive state.

Indexed as

AttentionAnimalsMacaca mulattaMaleNeuronsPrefrontal CortexVisual Cortexattentionextrastriatemonkeypopulationprefrontalvision

Identifiers

PMID34583956
PMCPMC8570836

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.