The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.
A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input
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Cites
Hodgkin, A. L., & Huxley, A. F. (1952) · The Journal of Physiology · doi:10.1113/jphysiol.1952.sp004764 · Cited by 23,191
Probability, Random Variables, and Stochastic Processes.
Abrahams, J., & Papoulis, A. (1984) · Journal of the American Statistical Association · doi:10.2307/2288754 · Cited by 16,226
The Fokker-Planck Equation: Methods of Solution and Applications
Risken, H. (1996) · Springer Series in Synergetics · doi:10.1007/978-3-642-61544-3 · Cited by 9,056
Stochastic Processes in Physics and Chemistry
(2007) · Elsevier eBooks · doi:10.1016/b978-0-444-52965-7.x5000-4 · Cited by 8,692
Probability, Random Variables, and Stochastic Processes
Miller, I. (1966) · Technometrics · doi:10.1080/00401706.1966.10490365 · Cited by 8,452
On the Theory of the Brownian Motion
Uhlenbeck, G. E., & Ornstein, L. S. (1930) · Physical Review · doi:10.1103/physrev.36.823 · Cited by 4,482
Probability, Random Variables, and Stochastic Processes
Papoulis, A., & Hoffman, J. G. (1967) · Physics Today · doi:10.1063/1.3034123 · Cited by 4,107
The Theory of Stochastic Processes
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Stochastic Processes in Physics and Chemistry
Kampen, V. (1992) · Cited by 3,301
Spiking Neuron Models: Single Neurons, Populations, Plasticity
Gerstner, W., & Kistler, W. M. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511815706 · Cited by 3,080
Cited by
Duan, Q., Jing, Z., Zou, X., Wang, Y., Yang, K., Zhang, T., Wu, S., Huang, R., & Yang, Y. (2020) · Nature Communications · doi:10.1038/s41467-020-17215-3 · Cited by 339
Sensory feedback restoration in leg amputees improves walking speed, metabolic cost and phantom pain
Petrini, F. M., Bumbasirevic, M., Valle, G., Ilic, V., Mijović, P., Čvančara, P., Barberi, F., Katic, N., Bortolotti, D., Andreu, D., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0567-3 · Cited by 269
Single cortical neurons as deep artificial neural networks
Beniaguev, D., Segev, I., & London, M. (2021) · Neuron · doi:10.1016/j.neuron.2021.07.002 · Cited by 254
Nonlinearity in memristors for neuromorphic dynamic systems
Yang, K., Joshua Yang, J., Huang, R., & Yang, Y. (2022) · Small Science · doi:10.1002/smsc.202100049 · Cited by 151
Temporal considerations for stimulating spiral ganglion neurons with cochlear implants.
Boulet, J., White, M., & Bruce, I. C. (2016) · Journal of the Association for Research in Otolaryngology · doi:10.1007/s10162-015-0545-5 · Cited by 114
Metadata
- Authors
- Burkitt, A. N.
- Venue
- Biological Cybernetics
- Published
- 2006-04-19
- Volume
- 95
- Issue
- 1
- Pages
- 1-19
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2109596721
- Cited by
- 1,208
- References
- 132
- FWCI
- 9.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Burkitt, A. N. (2006). A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input. Biological Cybernetics. https://doi.org/10.1007/s00422-006-0068-6
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.