The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Waves, bumps, and patterns in neural field theories
Open accessAbstract
Neural field models of firing rate activity have had a major impact in helping to develop an understanding of the dynamics seen in brain slice preparations. These models typically take the form of integro-differential equations. Their non-local nature has led to the development of a set of analytical and numerical tools for the study of waves, bumps and patterns, based around natural extensions of those used for local differential equation models. In this paper we present a review of such techniques and show how recent advances have opened the way for future studies of neural fields in both one and two dimensions that can incorporate realistic forms of axo-dendritic interactions and the slow intrinsic currents that underlie bursting behaviour in single neurons.
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Cited by
The dynamic brain: from spiking neurons to neural masses and cortical fields
Deco, G., Jirsa, V. K., Robinson, P. A., Breakspear, M., & Friston, K. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000092 · Cited by 1,084
Spatiotemporal dynamics of continuum neural fields
Bressloff, P. C. (2012) · Journal of Physics A: Mathematical and Theoretical · doi:10.1088/1751-8113/45/3/033001 · Cited by 414
Macroscopic Description for Networks of Spiking Neurons
Montbrió, E., Pazó, D., & Roxin, A. (2015) · Physical Review X · doi:10.1103/physrevx.5.021028 · Cited by 327
How Structure Determines Correlations in Neuronal Networks
Pernice, V., Staude, B., Cardanobile, S., & Rotter, S. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002059 · Cited by 273
Roberts, J. A., Gollo, L. L., Abeysuriya, R. G., Roberts, G., Mitchell, P. B., Woolrich, M. W., & Breakspear, M. (2019) · Nature Communications · doi:10.1038/s41467-019-08999-0 · Cited by 264
Metadata
- Authors
- Coombes, S.
- Venue
- Biological Cybernetics
- Published
- 2005-07-30
- Volume
- 93
- Issue
- 2
- Pages
- 91-108
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2102952547
- Cited by
- 447
- References
- 69
- FWCI
- 6.69
- Type
- journal article
- Language
- en
- Open access
- green
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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.