Evidence map›Paper›PMID 41728358›Full record

ArticleFrontiers in computational neuroscience2026

Synergy mediates long-range correlations in the visual cortex near criticality.

Hardik Rajpal, Cedric Stefens, Meghdad Saeedian, Joe S Canzano, Michael G Kareithi, Mauricio Barahona, Spencer LaVere Smith, Simon R Schultz, Henrik Jeldtoft Jensen

Abstract read
In one paragraph

Article in Frontiers in computational neuroscience, 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

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

5 · Who and what money

Authors and funding

9 authors.

Hardik RajpalCentre for Complexity Sciences, Imperial College London, London, United Kingdom.
Cedric Stefens *Department of Bioengineering, Imperial College London, London, United Kingdom.
Meghdad Saeedian *Centre for Complexity Sciences, Imperial College London, London, United Kingdom.
Joe S Canzano *Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, United States.
Michael G KareithiDepartment of Bioengineering, Imperial College London, London, United Kingdom.
Mauricio BarahonaDepartment of Mathematics, Imperial College London, London, United Kingdom.
Spencer LaVere SmithDepartment of Electrical and Computer Engineering, University of California, Santa Barbara, CA, United States.
Simon R SchultzDepartment of Bioengineering, Imperial College London, London, United Kingdom.
Henrik Jeldtoft JensenCentre for Complexity Sciences, Imperial College London, London, United Kingdom.

Funding

Visual representations across cortical areasR01EY035378 · NEI · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI SPENCER LAVERE SMITH · 2023 to 2026
$1.6M
NEI NIH HHS R01 EY035378
6 · The paper itself

Abstract

Long-range correlations are a key signature of systems operating near criticality, indicating spatially-extended interactions across large distances. These extended dependencies underlie other emergent properties of critical dynamics, such as high susceptibility and multi-scale coordination. In the brain, along with other signatures of criticality, long-range correlations have been observed across various spatial scales, suggesting that the brain may operate near a critical point to optimize information processing and adaptability. However, the mechanisms underlying these long-range correlations remain poorly understood. Here, we investigate the role of synergistic interactions in mediating long-range correlations in the visual cortex of awake mice. We leverage recent advances in mesoscale two-photon calcium imaging to analyse the activity of thousands of neurons across a wide field of view, allowing us to confirm the presence of long-range correlations at the level of neuronal populations. By applying the Partial Information Decomposition (PID) framework, we decompose the correlations into synergistic and redundant information interactions. Our results reveal that the increase in long-range correlations during visual stimulation is accompanied by a significant increase in synergistic rather than redundant interactions among neurons. Furthermore, we analyse a combined network formed by the union of synergistic and redundant interaction networks, and find that both types of interactions complement each other to facilitate efficient information processing across long distances. This complementarity is further enhanced during the visual stimulation. These findings provide new insights into the computational mechanisms that give rise to long-range correlations in neural systems and highlight the importance of considering different types of information interactions in understanding correlations in the brain.

Indexed as

calcium imaginginformationinformation decompositionlong-range interactionsmulti-layer networkredundancysynergy

Identifiers

PMID41728358
PMCPMC12920449

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.