Evidence map›Paper›PMID 41180119›Full record

ArticleFrontiers in computational neuroscience2025

Neuron synchronization analyzed through spatial-temporal attention.

Haoming Yang, Pramod Kc, Panyu Chen, Hong Lei, Simon Sponberg, Vahid Tarokh, Jeffrey A Riffell

Abstract read
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In one paragraph

Article in Frontiers in computational neuroscience, 2025. 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

7 authors.

Haoming Yang *Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States.
Pramod Kc *Department of Biology, University of Washington, Seattle, WA, United States.
Panyu ChenDepartment of Computer Science, Duke University, Durham, NC, United States.
Hong LeiSchool of Life Sciences, Arizona State University, Tempe, AZ, United States.
Simon SponbergSchools of Physics and Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.
Vahid TarokhDepartment of Biology, University of Washington, Seattle, WA, United States.
Jeffrey A RiffellDepartment of Biology, University of Washington, Seattle, WA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuronal synchronization refers to the temporal coordination of activity across populations of neurons, a process that underlies coherent information processing, supports the encoding of diverse sensory stimuli, and facilitates adaptive behavior in dynamic environments. Previous studies of synchronization have predominantly emphasized rate coding and pairwise interactions between neurons, which have provided valuable insights into emergent network phenomena but remain insufficient for capturing the full complexity of temporal dynamics in spike trains, particularly the interspike interval. To address this limitation, we performed

Indexed as

antennal lobeattention-mechanismbio-inspired neural networksgenerative modelneural synchronization

Identifiers

PMID41180119
PMCPMC12571808

What OpenQuestion holds

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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.