Evidence map›Paper›PMID 38099581›Full record

ArticleeLife2023

Serial attentional resource allocation during parallel feature value tracking.

Christian Merkel, Luise Burgmann, Mandy Viktoria Bartsch, Mircea Ariel Schoenfeld, Jens-Max Hopf

Abstract read
In one paragraph

Article in eLife, 2023. 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

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

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

5 authors.

Christian MerkelDepartment of Neurology, Otto-von-Guericke University, Magdeburg, Germany.ORCID 0000-0002-8730-5653
Luise BurgmannDepartment of Neurology, Otto-von-Guericke University, Magdeburg, Germany.
Mandy Viktoria BartschDepartment of Behavioral Neurology, Leibnitz Institute for Neurobiology, Magdeburg, Germany.ORCID 0000-0002-9276-5160
Mircea Ariel SchoenfeldDepartment of Neurology, Otto-von-Guericke University, Magdeburg, Germany.
Jens-Max HopfDepartment of Neurology, Otto-von-Guericke University, Magdeburg, Germany.

Funding

Deutsche Forschungsgemeinschaft SFB1436/B05
6 · The paper itself

Abstract

The visual system has evolved the ability to track features like color and orientation in parallel. This property aligns with the specialization of processing these feature dimensions in the visual cortex. But what if we ask to track changing feature-values within the same feature dimension? Parallel tracking would then have to share the same cortical representation, which would set strong limitations on tracking performance. We address this question by measuring the precision of color representations when human observers track the color of two superimposed dot clouds that simultaneously change color along independent trajectories in color-space. We find that tracking precision is highly imbalanced between streams and that tracking precision changes over time by alternating between streams at a rate of ~1 Hz. These observations suggest that, while parallel color tracking is possible, it is highly limited, essentially allowing for only one color-stream to be tracked with precision at a given time.

Indexed as

AttentionVisual CortexHumansPhotic StimulationResource Allocationattentional trackingcolor visionfeature-based attentionhumanneuroscience

Identifiers

PMID38099581
PMCPMC10791127

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.