The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Fine structure of neural spiking and synchronization in the presence of conduction delays
Open accessAbstract
Hippocampal networks of excitatory and inhibitory neurons that produce γ-frequency rhythms display behavior in which the inhibitory cells produce spike doublets when there is strong stimulation at separated sites. It has been suggested that the doublets play a key role in the ability to synchronize over a distance. Here we analyze the mechanisms by which timing in the spike doublet can affect the synchronization process. The analysis describes two independent effects: one comes from the timing of excitation from separated local circuits to an inhibitory cell, and the other comes from the timing of inhibition from separated local circuits to an excitatory cell. We show that a network with both of these effects has different synchronization properties than a network with either excitatory or inhibitory type of coupling alone, and we give a rationale for the shorter space scales associated with inhibitory interactions.
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Citations
Cites
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
Interneurons of the hippocampus
Freund, T. F., & Buzsáki, G. (1998) · Hippocampus · doi:10.1002/(sici)1098-1063(1996)6:4<347::aid-hipo1>3.0.co;2-i · Cited by 3,441
Iterated Maps on the Interval as Dynamical Systems
Collet, P., & Eckmann, J.-P. (2009) · Birkhäuser Boston eBooks · doi:10.1007/978-0-8176-4927-2 · Cited by 1,647
Whittington, M. A., Traub, R. D., & Jefferys, J. G. R. (1995) · Nature · doi:10.1038/373612a0 · Cited by 1,613
Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model
Wang, X.-J., & Buzsáki, G. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-20-06402.1996 · Cited by 1,563
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
Self-citationCoherent 25- to 35-Hz oscillations in the sensorimotor cortex of awake behaving monkeys.
Murthy, V. N., & Fetz, E. E. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5670 · Cited by 998
Neuronal Networks of the Hippocampus
Traub, R. D., & Miles, R. (1991) · doi:10.1017/cbo9780511895401 · Cited by 802
When inhibition not excitation synchronizes neural firing
Van Vreeswijk, C., Abbott, L. F., & Bard Ermentrout, G. (1994) · Journal of Computational Neuroscience · doi:10.1007/bf00961879 · Cited by 773
Buhl, E. H., Halasy, K., & Somogyi, P. (1994) · Nature · doi:10.1038/368823a0 · Cited by 728
Cited by
The brainweb: phase synchronization and large-scale integration
Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761
Mechanisms of Gamma Oscillations
Buzsáki, G., & Wang, X.-J. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150444 · Cited by 2,796
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Gamma rhythms and beta rhythms have different synchronization properties
Kopell, N., Ermentrout, G. B., Whittington, M. A., & Traub, R. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.4.1867 · Cited by 1,072
Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony
Le Van Quyen, M., Foucher, J., Lachaux, J.-P., Rodriguez, E., Lutz, A., Martinerie, J., & Varela, F. J. (2001) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(01)00372-7 · Cited by 887
Metadata
- Authors
- Ermentrout, G. B., & Kopell, N.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1998-02-03
- Volume
- 95
- Issue
- 3
- Pages
- 1259-1264
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2003600785
- Cited by
- 289
- References
- 28
- FWCI
- 6.32
- Type
- journal article
- Language
- en
- Open access
- green
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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).
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