Evidence map›Paper›PMID 40208381›Full record

ArticleJournal of computational neuroscience2025

Cortical dynamics of neural-connectivity fields.

Gerald K Cooray, Vernon Cooray, Karl J Friston

Abstract read
In one paragraph

Article in Journal of computational neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Wave turbulence and cortical dynamics.Frontiers in computational neuroscience · 2026
    Article
  2. Article
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.

Gerald K CoorayClinical Neuroscience, Karolinska Institutet, Eugeniav, 17177, Stockholm, Sweden. gerald.cooray@ki.se.
Vernon Cooray *Angstrom Laboratory, Uppsala University, Lägerhyddsv 1, 752 37, Uppsala, Sweden.
Karl J Friston *Functional Imaging Laboratory at Queens Square Institute of Neurology, University College London, 12 Queens Square, London, WC1N 3AR, UK.

Funding

B. John F. and S. Andersson's donation at Uppsala University 0Canada-UK Artificial Intelligence Initiative ES/T01279X/1European Union's Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 Human Brain Project SGA3Wellcome Centre for Human Neuroimaging 205103/Z/16/ZWellcome Trust
6 · The paper itself

Abstract

Macroscopic studies of cortical tissue reveal a prevalence of oscillatory activity, that reflect a fine tuning of neural interactions. This research extends neural field theories by incorporating generalized oscillatory dynamics into previous work on conservative or semi-conservative neural field dynamics. Prior studies have largely assumed isotropic connections among neural units; however, this study demonstrates that a broad range of anisotropic and fluctuating connections can still sustain oscillations. Using Lagrangian field methods, we examine different types of connectivity, their dynamics, and potential interactions with neural fields. From this theoretical foundation, we derive a framework that incorporates Hebbian and non-Hebbian learning - i.e., plasticity - into the study of neural fields via the concept of a connectivity field.

Indexed as

Cerebral CortexModels, NeurologicalNerve NetNeuronsAnimalsHumansNeural PathwaysNeuronal PlasticityConnectivityElectrophysiologyLagrangian dynamicsNeural fields

Identifiers

PMID40208381
PMCPMC12181116

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.