The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Spike-timing Dynamics of Neuronal Groups
Abstract
A neuronal network inspired by the anatomy of the cerebral cortex was simulated to study the self-organization of spiking neurons into neuronal groups. The network consisted of 100 000 reentrantly interconnected neurons exhibiting known types of cortical firing patterns, receptor kinetics, short-term plasticity and long-term spike-timing-dependent plasticity (STDP), as well as a distribution of axonal conduction delays. The dynamics of the network allowed us to study the fine temporal structure of emerging firing patterns with millisecond resolution. We found that the interplay between STDP and conduction delays gave rise to the spontaneous formation of neuronal groups--sets of strongly connected neurons capable of firing time-locked, although not necessarily synchronous, spikes. Despite the noise present in the model, such groups repeatedly generated patterns of activity with millisecond spike-timing precision. Exploration of the model allowed us to characterize various group properties, including spatial distribution, size, growth, rate of birth, lifespan, and persistence in the presence of synaptic turnover. Localized coherent input resulted in shifts of receptive and projective fields in the model similar to those observed in vivo.
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
Simple model of spiking neurons
Izhikevich, E. M. (2003) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2003.820440 · Cited by 4,828
Self-citationLong-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex
Trachtenberg, J. T., Chen, B. E., Knott, G. W., Feng, G., Sanes, J. R., Welker, E., & Svoboda, K. (2002) · Nature · doi:10.1038/nature01273 · Cited by 1,927
Natural waking and sleep states: a view from inside neocortical neurons
Steriade, M., Timofeev, I., & Grenier, F. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.85.5.1969 · Cited by 1,296
Long-term dendritic spine stability in the adult cortex
Grutzendler, J., Kasthuri, N., & Gan, W.-B. (2002) · Nature · doi:10.1038/nature01276 · Cited by 1,198 · cited 1×
“There is growing evidence that dendritic spines and synapses in adult brain can be rapidly formed and eliminated with a mean half-life of the order of 4 months (rat barrel cortex: Trachtenberg et al., 2002) or 12.5 months (mouse primary visual cortex: Grutzendler et al., 2002).”
BackgroundInfluentialDifferential signaling via the same axon of neocortical pyramidal neurons
Markram, H., Wang, Y., & Tsodyks, M. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.9.5323 · Cited by 1,102
Origin of Slow Cortical Oscillations in Deafferented Cortical Slabs
Timofeev, I. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.12.1185 · Cited by 710
WAXMAN, S. G., & BENNETT, M. V. L. (1972) · Nature New Biology · doi:10.1038/newbio238217a0 · Cited by 444
Salami, M., Itami, C., Tsumoto, T., & Kimura, F. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0937380100 · Cited by 314
Spatiotemporal Structure of Cortical Activity: Properties and Behavioral Relevance
Prut, Y., Vaadia, E., Bergman, H., Haalman, I., Slovin, H., & Abeles, M. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.6.2857 · Cited by 300
Cited by
Large-scale model of mammalian thalamocortical systems
Izhikevich, E. M., & Edelman, G. M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0712231105 · Cited by 1,021
Self-citationSolving the Distal Reward Problem through Linkage of STDP and Dopamine Signaling
Izhikevich, E. M. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl152 · Cited by 657
Self-citationPhenomenological models of synaptic plasticity based on spike timing
Morrison, A., Diesmann, M., & Gerstner, W. (2008) · Biological Cybernetics · doi:10.1007/s00422-008-0233-1 · Cited by 593
Sequential structure of neocortical spontaneous activity in vivo
Luczak, A., Barthó, P., Marguet, S. L., Buzsáki, G., & Harris, K. D. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605643104 · Cited by 515
Intrinsic Coupling Modes: Multiscale Interactions in Ongoing Brain Activity
Engel, A. K., Gerloff, C., Hilgetag, C. C., & Nolte, G. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.038 · Cited by 471
Metadata
- Authors
- Izhikevich, E. M.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-03-28
- Volume
- 14
- Issue
- 8
- Pages
- 933-944
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2069764737
- Cited by
- 487
- References
- 9
- FWCI
- 13.12
- 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: Spike-timing Dynamics of Neuronal Groups. https://app.cochat.ai/papers/10.1093/cercor/bhh053
- The paper
- Izhikevich, E. M. (2004). Spike-timing Dynamics of Neuronal Groups. Cerebral Cortex. https://doi.org/10.1093/cercor/bhh053
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.