The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Which Model to Use for Cortical Spiking Neurons?
Abstract
We discuss the biological plausibility and computational efficiency of some of the most useful models of spiking and bursting neurons. We compare their applicability to large-scale simulations of cortical neural networks.
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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-citationVoltage oscillations in the barnacle giant muscle fiber
Morris, C., & Lecar, H. (1981) · Biophysical Journal · doi:10.1016/s0006-3495(81)84782-0 · Cited by 2,302
Type I membranes, phase resetting curves, and synchrony
Ermentrout, B. (1996) · Neural Computation · doi:10.1162/neco.1996.8.5.979 · Cited by 1,001
Cited by
A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input
Burkitt, A. N. (2006) · Biological Cybernetics · doi:10.1007/s00422-006-0068-6 · Cited by 1,208
Indiveri, G., Chicca, E., & Douglas, R. (2006) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2005.860850 · Cited by 1,009
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
Locatelli, N., Cros, V., & Grollier, J. (2014) · Nature Materials · doi:10.1038/nmat3823 · Cited by 649
Model of electrical activity in a neuron under magnetic flow effect
Lv, M., Wang, C., Ren, G., Ma, J., & Song, X. (2016) · Nonlinear Dynamics · doi:10.1007/s11071-016-2773-6 · Cited by 513
Metadata
- Authors
- Izhikevich, E. M.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 2004-09
- Volume
- 15
- Issue
- 5
- Pages
- 1063-1070
- ISSN
- 1045-9227 (ISSN-L)
- OpenAlex
- W2157239334
- Cited by
- 2,542
- References
- 3
- FWCI
- 20.80
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
