Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks (Review)

M. Bartos, I. Vida, P.M. Jonas, Nature Reviews Neuroscience 8 (2007) 45–56.

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Abstract
Gamma frequency oscillations are thought to provide a temporal structure for information processing in the brain. They contribute to cognitive functions, such as memory formation and sensory processing, and are disturbed in some psychiatric disorders. Fast-spiking, parvalbumin-expressing, soma-inhibiting interneurons have a key role in the generation of these oscillations. Experimental analysis in the hippocampus and the neocortex reveals that synapses among these interneurons are highly specialized. Computational analysis further suggests that synaptic specialization turns interneuron networks into robust gamma frequency oscillators.
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Date Published
2007-01-21
Journal Title
Nature Reviews Neuroscience
Volume
8
Issue
1
Page
45 - 56
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Bartos M, Vida I, Jonas PM. Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks (Review). Nature Reviews Neuroscience. 2007;8(1):45-56. doi:10.1038/nrn2044
Bartos, M., Vida, I., & Jonas, P. M. (2007). Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks (Review). Nature Reviews Neuroscience, 8(1), 45–56. https://doi.org/10.1038/nrn2044
Bartos, Marlene, Imre Vida, and Peter M Jonas. “Synaptic Mechanisms of Synchronized Gamma Oscillations in Inhibitory Interneuron Networks (Review).” Nature Reviews Neuroscience 8, no. 1 (2007): 45–56. https://doi.org/10.1038/nrn2044 .
M. Bartos, I. Vida, and P. M. Jonas, “Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks (Review),” Nature Reviews Neuroscience, vol. 8, no. 1, pp. 45–56, 2007.
Bartos M, Vida I, Jonas PM. 2007. Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks (Review). Nature Reviews Neuroscience. 8(1), 45–56.
Bartos, Marlene, et al. “Synaptic Mechanisms of Synchronized Gamma Oscillations in Inhibitory Interneuron Networks (Review).” Nature Reviews Neuroscience, vol. 8, no. 1, Nature Publishing Group, 2007, pp. 45–56, doi:10.1038/nrn2044 .

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