The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
A model of spindle rhythmicity in the isolated thalamic reticular nucleus
Abstract
1. The oscillatory properties of the isolated reticular (RE) thalamus were modeled with the use of compartmental models of RE cells. Hodgkin-Huxley type kinetic models of ionic channels were derived from voltage- and current-clamp data from RE cells. Interactions between interconnected RE cells were simulated with the use of a kinetic model of gamma-aminobutyric acid (GABA) inhibitory synapses. 2. The intrinsic bursting properties of RE cells in the model were due to the presence of a low-threshold Ca2+ current and two Ca(2+)-activated currents. The properties of these model RE cells were compared with RE neurons recorded intracellularly in vivo in cats. 3. Model RE cells densely interconnected with GABAA synapses produced synchronous oscillations at a frequency close to that of spindles (7–14 Hz). Networks of RE neurons organized in a two-dimensional array with only proximal connectivity also exhibited synchronized oscillations in the spindle range. In addition, the proximally connected network showed periods of high and low synchronicity, giving rise to waxing and waning oscillations in the population of RE cells. 4. The spatiotemporal behavior of the network was investigated during waxing and waning oscillations. The waxing and waning emerged as an alternation between periods of desynchronized and synchronized activity, corresponding to periods of irregular and coherent spatial activity. During synchronized periods, the network displayed propagating coherent waves of synchronous activity that had a tendency to form spirals. 5. Networks of model RE neurons fully connected through GABAB synapses exhibited perfectly synchronous oscillations at lower frequencies (0.5–1 Hz), but two-dimensional networks with proximal GABAB connectivity failed to synchronize. 6. These simulations demonstrate that networks of model neurons that include the main intrinsic currents found in RE cells can generate waxing and waning oscillatory activity similar to the spindle rhythmicity observed in the isolated RE nucleus in vivo. The model reveals the interplay between the intrinsic rhythmic properties of RE cells and the fast synaptic interactions in organizing synchronized rhythmicity.
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Cites
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Electric Fields of the Brain: The Neurophysics of EEG
Nunez, P. L., & Harth, E. (1982) · Physics Today · doi:10.1063/1.2915137 · Cited by 2,232
The functional states of the thalamus and the associated neuronal interplay.
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Self-citationMcCormick, D. A., & Pape, H. C. (1990) · The Journal of Physiology · doi:10.1113/jphysiol.1990.sp018331 · Cited by 1,139
Nucleus basalis and thalamic control of neocortical activity in the freely moving rat
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Cellular Mechanisms of a Synchronized Oscillation in the Thalamus
Krosigk von, M., Bal, T., & McCormick, D. A. (1993) · Science · doi:10.1126/science.8392750 · Cited by 837
Neuronal Networks of the Hippocampus
Traub, R. D., & Miles, R. (1991) · doi:10.1017/cbo9780511895401 · Cited by 802 · cited 1×
“Na+ and K+ currents: INa and IK MODEL OF RETICULAR THALAMIC OSCILLATIONS 805 & = 10 mS/cm2, and the sodium reversal potential was of 50 mV. Fast calcium currents may also contribute to the genesis of the fast spike, but this was not taken into account in our model.”
Abolition of spindle oscillations in thalamic neurons disconnected from nucleus reticularis thalami
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Self-citationDestexhe, A., Mainen, Z. F., & Sejnowski, T. J. (1994) · Journal of Computational Neuroscience · doi:10.1007/bf00961734 · Cited by 623
Self-citationAlternating and Synchronous Rhythms in Reciprocally Inhibitory Model Neurons
Wang, X.-J., & Rinzel, J. (1992) · Neural Computation · doi:10.1162/neco.1992.4.1.84 · Cited by 590
Cited by
Cellular basis of EEG slow rhythms: a study of dynamic corticothalamic relationships
Contreras, D., & Steriade, M. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-01-00604.1995 · Cited by 699
Self-citationDestexhe, A., Mainen, Z. F., & Sejnowski, T. J. (1994) · Journal of Computational Neuroscience · doi:10.1007/bf00961734 · Cited by 623
Self-citationMechanisms of human attention: event-related potentials and oscillations
Herrmann, C. S., & Knight, R. T. (2001) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(01)00027-6 · Cited by 600
Why do we sleep?11Published on the World Wide Web on 7 November 2000.
Sejnowski, T. J., & Destexhe, A. (2000) · Brain Research · doi:10.1016/s0006-8993(00)03007-9 · Cited by 489
Self-citationFiset, P., Paus, T., Daloze, T., Plourde, G., Meuret, P., Bonhomme, V., Hajj-Ali, N., Backman, S. B., & Evans, A. C. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-13-05506.1999 · Cited by 475
Metadata
- Authors
- Destexhe, A., Contreras, D., Sejnowski, T. J., & Steriade, M.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 1994-08-01
- Volume
- 72
- Issue
- 2
- Pages
- 803-818
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2153110368
- Cited by
- 334
- References
- 39
- FWCI
- 5.70
- Type
- journal article
- Language
- en
- Open access
- closed
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