Interactions between membrane conductances underlying thalamocortical slow-wave oscillations.

@article{Destexhe2003InteractionsBM,
  title={Interactions between membrane conductances underlying thalamocortical slow-wave oscillations.},
  author={Alain Destexhe and Terrence J. Sejnowski},
  journal={Physiological reviews},
  year={2003},
  volume={83 4},
  pages={
          1401-53
        }
}
Neurons of the central nervous system display a broad spectrum of intrinsic electrophysiological properties that are absent in the traditional "integrate-and-fire" model. A network of neurons with these properties interacting through synaptic receptors with many time scales can produce complex patterns of activity that cannot be intuitively predicted. Computational methods, tightly linked to experimental data, provide insights into the dynamics of neural networks. We review this approach for… 
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References

SHOWING 1-10 OF 410 REFERENCES
Spike-and-Wave Oscillations Based on the Properties of GABAB Receptors
TLDR
This model suggests that SW oscillations can arise from thalamocortical loops in which the corticothalamic feedback indirectly evokes GABAB-mediated inhibition in the thalamus.
Ionic mechanisms underlying synchronized oscillations and propagating waves in a model of ferret thalamic slices.
TLDR
Two key properties of cells in the thalamic network may account for the initiation, propagation, and termination of spindle oscillations, the activity-dependent upregulation of Ih in TC cells, and the localized axonal projections between TC and RE cells.
Synchronization properties of spindle oscillations in a thalamic reticular nucleus model.
1. We address the hypothesis of Steriade and colleagues that the thalamic reticular nucleus (RE) is a pacemaker for thalamocortical spindle oscillations by developing and analyzing a model of a large
Spiking-bursting activity in the thalamic reticular nucleus initiates sequences of spindle oscillations in thalamic networks.
TLDR
This model predicts that the intrinsic properties of the reticular thalamus may contribute to the synchrony of spindle oscillations observed in vivo, and generates persistent spatio-temporal patterns in the RE nucleus.
Emergent spindle oscillations and intermittent burst firing in a thalamic model: specific neuronal mechanisms.
TLDR
The hyperpolarization-activated cation current (Ih) is found to provide a cellular basis for the intermittency of rebound bursting that is commonly observed in TC neurons during spindles.
...
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