The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
The benefits of noise in neural systems: bridging theory and experiment
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Citations
Cites
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820
Gammaitoni, L., Hänggi, P., Jung, P., & Marchesoni, F. (1998) · Reviews of Modern Physics · doi:10.1103/revmodphys.70.223 · Cited by 5,443
Short-Term Synaptic Plasticity
Zucker, R. S., & Regehr, W. G. (2002) · Annual Review of Physiology · doi:10.1146/annurev.physiol.64.092501.114547 · Cited by 5,068
Faisal, A. A., Selen, L. P. J., & Wolpert, D. M. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2258 · Cited by 2,883
Which Model to Use for Cortical Spiking Neurons?
Izhikevich, E. M. (2004) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.832719 · Cited by 2,542
Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization
McDonnell, M. D., Stocks, N. G., Pearce, C. E. M., & Abbott, D. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511535239 · Cited by 2,403
Self-citationStochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs
Wiesenfeld, K., & Moss, F. (1995) · Nature · doi:10.1038/373033a0 · Cited by 1,830
Coherence Resonance in a Noise-Driven Excitable System
Pikovsky, A. S., & Kurths, J. (1997) · Physical Review Letters · doi:10.1103/physrevlett.78.775 · Cited by 1,719
Abbott, L. F., & Regehr, W. G. (2004) · Nature · doi:10.1038/nature03010 · Cited by 1,684
Tsodyks, M. V., & Markram, H. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.2.719 · Cited by 1,603
Cited by
Sterling, P., & Laughlin, S. (2015) · doi:10.7551/mitpress/9780262028707.001.0001 · Cited by 482
Haptic wearables as sensory replacement, sensory augmentation and trainer – a review
Shull, P. B., & Damian, D. D. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-015-0055-z · Cited by 245
Principles of insect path integration
Heinze, S., Narendra, A., & Cheung, A. (2018) · Current Biology · doi:10.1016/j.cub.2018.04.058 · Cited by 195
Low endogenous neural noise in autism
Davis, G., & Plaisted-Grant, K. (2015) · Autism · doi:10.1177/1362361314552198 · Cited by 99
Braun, H. A. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.629436 · Cited by 64
Metadata
- Authors
- McDonnell, M. D., & Ward, L. M.
- Venue
- Nature Reviews Neuroscience
- Published
- 2011-06-20
- Volume
- 12
- Issue
- 7
- Pages
- 415-425
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W1965762557
- Cited by
- 772
- References
- 100
- FWCI
- 3.22
- 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.
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- CoChat. (2026). Citation check: The benefits of noise in neural systems: bridging theory and experiment. https://app.cochat.ai/papers/10.1038/nrn3061
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- McDonnell, M. D., & Ward, L. M. (2011). The benefits of noise in neural systems: bridging theory and experiment. Nature Reviews Neuroscience. https://doi.org/10.1038/nrn3061
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.
