The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions
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Citations
Cites
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Barabási, A.-L., & Bonabeau, E. (2003) · Scientific American · doi:10.1038/scientificamerican0503-60 · Cited by 2,494
Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations
Linkenkaer-Hansen, K., Nikouline, V. V., Palva, J. M., & Ilmoniemi, R. J. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-04-01370.2001 · Cited by 1,149 · cited 1×
“The importance of long-distance correlations has been emphasized by numerous brain theorists (e.g., Ingber, 1995; Hoppenstaedt and Izhkevich, 1998; Haken, 1999; Friston, 2000; Linkenkaer-Hansen et al., 2001; Kaneko and Tsuda, 2001; Kozma et al., 2003; Stam et al., 2003).”
BackgroundFreeman, W. J., Burke, B. C., & Holmes, M. D. (2003) · Human Brain Mapping · doi:10.1002/hbm.10120 · Cited by 214 · cited 1×
“Synchronization of neural electical activity while completing cognitive tasks is studied in various animals, e.g., in cats, rabbits, gerbils, macaque monkeys (Barrie et al, 1996; Ohl, et al, 2001, 2003, Freeman et al, 2003a; Bressler, 2003).”
BackgroundSelf-citation
Cited by
Tognoli, E., & Kelso, J. A. S. (2014) · Neuron · doi:10.1016/j.neuron.2013.12.022 · Cited by 718
The application of graph theoretical analysis to complex networks in the brain
Reijneveld, J. C., Ponten, S. C., Berendse, H. W., & Stam, C. J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.08.010 · Cited by 522
Being Critical of Criticality in the Brain
Beggs, J. M., & Timme, N. (2012) · Frontiers in Physiology · doi:10.3389/fphys.2012.00163 · Cited by 494
Life and Understanding: The Origins of “Understanding” in Self-Organizing Nervous Systems
Yufik, Y. M., & Friston, K. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00098 · Cited by 53
Metadata
- Authors
- Kozma, R., Puljic, M., Balister, P., Bollobás, B., & Freeman, W. J.
- Venue
- Biological Cybernetics
- Published
- 2005-05-25
- Volume
- 92
- Issue
- 6
- Pages
- 367-379
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2166538868
- Cited by
- 163
- References
- 4
- FWCI
- 6.54
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions. https://app.cochat.ai/papers/10.1007/s00422-005-0565-z
- The paper
- Kozma, R., Puljic, M., Balister, P., Bollobás, B., & Freeman, W. J. (2005). Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions. Biological Cybernetics. https://doi.org/10.1007/s00422-005-0565-z
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.
