The DOI matches its Crossref record; 50 of the 51 references it cites were found in a registry or an index.
Network Oscillations: Emerging Computational Principles
Open accessAbstract
Despite extensive work on the behavioral and physiological correlates of brain rhythms, it is still unresolved whether they have any important function in the mammalian cerebral cortex. In particular, there is no consensus on whether there are general computational roles for network oscillations.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Thus, controlling the degree of synchrony at presynaptic neurons can serve as a gain control mechanism [59,60].”
From Cerebral hierarchies: predictive processing, precision and the pulvinar (2015) · cites this paper as [59]
In the citing paper
“synchronized presynaptic spikes generally make the postsynaptic impact stronger.”
From Cerebral hierarchies: predictive processing, precision and the pulvinar (2015) · cites this paper as [59]
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
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
Bliss, T. V. P., & Gardner-Medwin, A. R. (1973) · The Journal of Physiology · doi:10.1113/jphysiol.1973.sp010274 · Cited by 7,424
Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
Markram, H., Lübke, J., Frotscher, M., & Sakmann, B. (1997) · Science · doi:10.1126/science.275.5297.213 · Cited by 3,832
Visual Feature Integration and the Temporal Correlation Hypothesis
Singer, W., & Gray, C. M. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.003011 · Cited by 3,217
Spikes: Exploring the Neural Code
Rieke, F. M., Warland, D., van Steveninck, R. R. D. R., & Bialek, W. (1996) · Medical Entomology and Zoology · Cited by 2,844
Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
Song, S., Miller, K. D., & Abbott, L. F. (2000) · Nature Neuroscience · doi:10.1038/78829 · Cited by 2,794
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786
Phase relationship between hippocampal place units and the EEG theta rhythm
O'Keefe, J. M., & Recce, M. L. (1993) · Hippocampus · doi:10.1002/hipo.450030307 · Cited by 2,643
Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex
Gray, C. M., & Singer, W. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.5.1698 · Cited by 2,463
Research works printed but not linked: 3
- 10.1113/jphysiol.1973.sp010273 · DOI · Paper page
- (2004), Soc Neurosci Abstr, 30, 717
- Mel BW (1999) Why have dendrites? A computational perspective. In: Dendrites (Stuart G, Spruston N, Hausser M, eds) , pp. 271–289. Oxford: Oxford UP.
Cited by
Sorted by citations
Beta-band oscillations—Signalling the status quo?
Engel, A. K., & Fries, P. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.015 · Cited by 2,953
van Kerkoerle, T., Self, M. W., Dagnino, B., Gariel-Mathis, M.-A., Poort, J., van der Togt, C., & Roelfsema, P. R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402773111 · Cited by 918
EEG and MEG: Relevance to Neuroscience
Lopes da Silva, F. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.017 · Cited by 900
Herrmann, C. S., Rach, S., Neuling, T., & Strüber, D. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00279 · Cited by 851
What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology
McDonnell, M. D., & Abbott, D. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000348 · Cited by 774
Metadata
- Authors
- Sejnowski, T. J., & Paulsen, O.
- Affiliations
- Salk Institute for Biological Studies (US)
- ORCID
- Paulsen, Ole
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2006-02-08
- Volume
- 26
- Issue
- 6
- Pages
- 1673-1676
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2915831
- OpenAlex
- W1970798847
- Cited by
- 284
- References
- 51
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 7 · 2023: 11 · 2022: 14 · 2021: 4 · 2020: 13 · 2019: 12 · 2018: 11 · 2017: 13 · 2016: 6 · 2015: 22 · 2014: 9 · 2013: 14 · 2012: 12
- FWCI
- 2.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- Wellcome Trust
- Directorate for Biological Sciences
- Biotechnology and Biological Sciences Research Council
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Nonlinear Dynamics and Pattern Formation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- network oscillations, neural oscillations, computational principles, cerebral cortex
- MeSH terms
- Animals, Brain, Hippocampus, Humans, Learning, Memory, Models, Neurological, Nerve Net, Oscillometry, Reproducibility of Results
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