The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Clustering in globally coupled phase oscillators
Abstract
A model of many globally coupled phase oscillators is studied by analytical and numerical methods. Each oscillator is coupled to all the other oscillators via a global driving force that takes the form ${\mathit{tsum}}_{\mathit{j}}$ g(${\mathrm{\ensuremath{\varphi}}}_{\mathit{j}}$), where g(${\mathrm{\ensuremath{\varphi}}}_{\mathit{j}}$) is a periodic function of the jth phase. The spatiotemporal properties of the attractors in various regions of parameter space are analyzed. In addition to simple spatially uniform fixed points and limit cycles, the system also exhibits spatially nonuniform attractors of three kinds. First, there are cluster states in which the system breaks into a few macroscopically big clusters, each of which is fully synchronized. Second, there is a stationary state with full frequency locking but no phase locking. The distribution of phases is stationary in time. Third, in an extremely narrow regime of parameters, a nonperiodic attractor exists. It is found that the cluster state is stable to the addition of weak stochastic noise. Increasing the level of noise beyond a critical value generates a continuous transition to a stationary ergodic state. In the special case where the nonlinearities in the dynamics involve only first harmonics, marginal states are observed, characterized by a continuum of marginally stable limit trajectories. These states are unstable under the introduction of noise.
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
Chemical Oscillations, Waves, and Turbulence
Kuramoto, Y. (1984) · Springer Series in Synergetics · doi:10.1007/978-3-642-69689-3 · Cited by 7,142
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
Eckhorn, R., Bauer, R., Jordan, W., Brosch, M., Kruse, W., Munk, M., & Reitboeck, H. J. (1988) · Biological Cybernetics · doi:10.1007/bf00202899 · Cited by 2,330
Chaos in random neural networks
Sompolinsky, H., Crisanti, A., & Sommers, H. J. (1988) · Physical Review Letters · doi:10.1103/physrevlett.61.259 · Cited by 1,061
Self-citationClustering, coding, switching, hierarchical ordering, and control in a network of chaotic elements
Kaneko, K. (1990) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(90)90119-a · Cited by 898
Sliding charge-density waves as a dynamic critical phenomenon
Fisher, D. S. (1985) · Physical review. B, Condensed matter · doi:10.1103/physrevb.31.1396 · Cited by 616
Stability of incoherence in a population of coupled oscillators
Strogatz, S. H., & Mirollo, R. E. (1991) · Journal of Statistical Physics · doi:10.1007/bf01029202 · Cited by 566
Engel, A. K., König, P., Gray, C. M., & Singer, W. (1990) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1990.tb00449.x · Cited by 437
Kuramoto, Y., & Nishikawa, I. (1987) · Journal of Statistical Physics · doi:10.1007/bf01009349 · Cited by 372
Globally coupled chaos violates the law of large numbers but not the central-limit theorem
Kaneko, K. (1990) · Physical Review Letters · doi:10.1103/physrevlett.65.1391 · Cited by 311
Cited by
Pattern formation outside of equilibrium
Cross, M. C., & Hohenberg, P. C. (1993) · Reviews of Modern Physics · doi:10.1103/revmodphys.65.851 · Cited by 7,859
Time Delay in the Kuramoto Model of Coupled Oscillators
Yeung, M. K. S., & Strogatz, S. H. (1999) · Physical Review Letters · doi:10.1103/physrevlett.82.648 · Cited by 601
Synchrony in excitatory neural networks
Hansel, D., Mato, G., & Meunier, C. (1995) · Neural Computation · doi:10.1162/neco.1995.7.2.307 · Cited by 587
Self-citationTime structure of the activity in neural network models
Gerstner, W. (1995) · Physical Review E · doi:10.1103/physreve.51.738 · Cited by 527
Synchronous chaos in coupled oscillator systems
Heagy, J. F., Carroll, T. L., & Pecora, L. M. (1994) · Physical Review E · doi:10.1103/physreve.50.1874 · Cited by 462
Metadata
- Authors
- Golomb, D., Hansel, D., Shraiman, B., & Sompolinsky, H.
- Venue
- Physical Review A
- Publisher
- American Physical Society (APS)
- Published
- 1992-03-01
- Volume
- 45
- Issue
- 6
- Pages
- 3516-3530
- ISSN
- 0556-2791 (ISSN-L)
- 1050-2947
- 1094-1622
- OpenAlex
- W1967662813
- Cited by
- 276
- References
- 20
- FWCI
- 24.99
- Type
- journal article
- Language
- en
- Open access
- closed
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: Clustering in globally coupled phase oscillators. https://app.cochat.ai/papers/10.1103/physreva.45.3516
- The paper
- Golomb, D., Hansel, D., Shraiman, B., & Sompolinsky, H. (1992). Clustering in globally coupled phase oscillators. Physical Review A. https://doi.org/10.1103/physreva.45.3516
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.