The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding
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Citations
Cites
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Speed of processing in the human visual system
Thorpe, S., Fize, D., & Marlot, C. (1996) · Nature · doi:10.1038/381520a0 · Cited by 3,538
Dynamics of the Hippocampal Ensemble Code for Space
Wilson, M. A., & McNaughton, B. L. (1993) · Science · doi:10.1126/science.8351520 · Cited by 2,350
Synaptic plasticity: taming the beast
Abbott, L. F., & Nelson, S. B. (2000) · Nature Neuroscience · doi:10.1038/81453 · Cited by 2,263 · cited 1×
“Moreover, firing rate and correlation (or synchrony) are attractive candidate neural codes because both can affect network function by influencing synaptic plasticit”
BackgroundCorrelated neuronal discharge rate and its implications for psychophysical performance
Zohary, E., Shadlen, M. N., & Newsome, W. T. (1994) · Nature · doi:10.1038/370140a0 · Cited by 1,237
Cortex: Statistics and Geometry of Neuronal Connectivity
Braitenberg, V., & Schüz, A. (1998) · doi:10.1007/978-3-662-03733-1 · Cited by 1,178 · cited 1×
“and that individual neurons are exposed to inputs from large numbers of other neuron”
BackgroundSpontaneously emerging cortical representations of visual attributes
Kenet, T., Bibitchkov, D., Tsodyks, M., Grinvald, A., & Arieli, A. (2003) · Nature · doi:10.1038/nature02078 · Cited by 924
Synfire Chains and Cortical Songs: Temporal Modules of Cortical Activity
Ikegaya, Y., Aaron, G., Cossart, R., Aronov, D., Lampl, I., Ferster, D., & Yuste, R. (2004) · Science · doi:10.1126/science.1093173 · Cited by 838
Neuronal correlates of parametric working memory in the prefrontal cortex
Romo, R., Brody, C. D., Hernández, A., & Lemus, L. (1999) · Nature · doi:10.1038/20939 · Cited by 822
Cortex is driven by weak but synchronously active thalamocortical synapses
Bruno, R. M., & Sakmann, B. (2006) · Science · doi:10.1126/science.1124593 · Cited by 714
Cited by
Dimensionality reduction for large-scale neural recordings
Cunningham, J. P., & Yu, B. M. (2014) · Nature Neuroscience · doi:10.1038/nn.3776 · Cited by 1,219
The benefits of noise in neural systems: bridging theory and experiment
McDonnell, M. D., & Ward, L. M. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3061 · Cited by 772
Correlations and Neuronal Population Information
Kohn, A., Coen-Cagli, R., Kanitscheider, I., & Pouget, A. (2016) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070815-013851 · Cited by 367
Data based identification and prediction of nonlinear and complex dynamical systems
Wang, W.-X., Lai, Y.-C., & Grebogi, C. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.06.004 · Cited by 299
Spiking Neural Networks Hardware Implementations and Challenges: A Survey
Bouvier, M., Valentian, A., Mesquida, T., Rummens, F., Reyboz, M., Vianello, E., & Beigne, E. (2019) · ACM Journal on Emerging Technologies in Computing Systems · doi:10.1145/3304103 · Cited by 267
Metadata
- Authors
- Kumar, A., Rotter, S., & Aertsen, A.
- Venue
- Nature Reviews Neuroscience
- Published
- 2010-09
- Volume
- 11
- Issue
- 9
- Pages
- 615-627
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2062450964
- Cited by
- 446
- References
- 16
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding. https://app.cochat.ai/papers/10.1038/nrn2886
- The paper
- Kumar, A., Rotter, S., & Aertsen, A. (2010). Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding. Nature Reviews Neuroscience. https://doi.org/10.1038/nrn2886
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.
