The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Synchronous Bursts on Scale-Free Neuronal Networks with Attractive and Repulsive Coupling
Open accessAbstract
This paper investigates the dependence of synchronization transitions of bursting oscillations on the information transmission delay over scale-free neuronal networks with attractive and repulsive coupling. It is shown that for both types of coupling, the delay always plays a subtle role in either promoting or impairing synchronization. In particular, depending on the inherent oscillation period of individual neurons, regions of irregular and regular propagating excitatory fronts appear intermittently as the delay increases. These delay-induced synchronization transitions are manifested as well-expressed minima in the measure for spatiotemporal synchrony. For attractive coupling, the minima appear at every integer multiple of the average oscillation period, while for the repulsive coupling, they appear at every odd multiple of the half of the average oscillation period. The obtained results are robust to the variations of the dynamics of individual neurons, the system size, and the neuronal firing type. Hence, they can be used to characterize attractively or repulsively coupled scale-free neuronal networks with delays.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Voltage oscillations in the barnacle giant muscle fiber
Morris, C., & Lecar, H. (1981) · Biophysical Journal · doi:10.1016/s0006-3495(81)84782-0 · Cited by 2,302
Gamma rhythms and beta rhythms have different synchronization properties
Kopell, N., Ermentrout, G. B., Whittington, M. A., & Traub, R. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.4.1867 · Cited by 1,072 · cited 1×
“It has been reported, for example, that the beta frequency is able to synchronize over long conduction delays, which corresponds to signals traveling a significant distance in the brain [34].”
BackgroundSpeaker-listener neural coupling underlies successful communication
Stephens, G. J., Silbert, L. J., & Hasson, U. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008662107 · Cited by 970
Simulation of robustness against lesions of cortical networks
Kaiser, M., Martin, R., Andras, P., & Young, M. P. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05574.x · Cited by 244
Cited by
Bioactivity and applications of sulphated polysaccharides from marine microalgae
Raposo, M., De Morais, R., & Bernardo de Morais, A. (2013) · Marine Drugs · doi:10.3390/md11010233 · Cited by 594
Influence of salinity on microorganisms in activated sludge processes: A review
He, H., Chen, Y., Li, X., Cheng, Y., Yang, C., & Zeng, G. (2017) · International Biodeterioration & Biodegradation · doi:10.1016/j.ibiod.2016.10.007 · Cited by 373
1D-local binary pattern based feature extraction for classification of epileptic EEG signals
Kaya, Y., Uyar, M., Tekin, R., & Yıldırım, S. (2014) · Applied Mathematics and Computation · doi:10.1016/j.amc.2014.05.128 · Cited by 279
Kadar, E., Rooks, P., Lakey, C., & White, D. A. (2012) · Science of The Total Environment · doi:10.1016/j.scitotenv.2012.09.010 · Cited by 148
Hu, J., Wang, C., Ye, L., Yang, W., Huang, H., Meng, F., Shi, S., & Ding, Z. (2015) · Journal of Biosciences · doi:10.1007/s12038-015-9518-4 · Cited by 124
Metadata
- Authors
- Wang, Q., Chen, G., & Perc, M.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-01-06
- Volume
- 6
- Issue
- 1
- Pages
- e15851
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2142214637
- Cited by
- 475
- References
- 5
- FWCI
- 63.70
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Synchronous Bursts on Scale-Free Neuronal Networks with Attractive and Repulsive Coupling. https://app.cochat.ai/papers/10.1371/journal.pone.0015851
- The paper
- Wang, Q., Chen, G., & Perc, M. (2011). Synchronous Bursts on Scale-Free Neuronal Networks with Attractive and Repulsive Coupling. PLoS ONE. https://doi.org/10.1371/journal.pone.0015851
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.