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Autaptic connections and synaptic depression constrain and promote gamma oscillations


Connelly, WM, Autaptic connections and synaptic depression constrain and promote gamma oscillations, PloS One, 9, (2) Article e89995. ISSN 1932-6203 (2014) [Refereed Article]


Copyright Statement

Copyright 2014 William M. Connelly. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.1371/journal.pone.0089995


Computational models of gamma oscillations have helped increase our understanding of the mechanisms that shape these 40-80 Hz cortical rhythms. Evidence suggests that interneurons known as basket cells are responsible for the generation of gamma oscillations. However, current models of gamma oscillations lack the dynamic short term synaptic plasticity seen at basket cell-basket cell synapses as well as the large autaptic synapses basket cells are known to express. Hence, I sought to extend the Wang-Buzsáki model of gamma oscillations to include these features. I found that autapses increased the synchrony of basket cell membrane potentials across the network during neocortical gamma oscillations as well as allowed the network to oscillate over a broader range of depolarizing drive. I also found that including realistic synaptic depression filtered the output of the network. Depression restricted the network to oscillate in the 60–80 Hz range rather than the 40-120 Hz range seen in the standard model. This work shows the importance of including accurate synapses in any future model of gamma oscillations.

Item Details

Item Type:Refereed Article
Keywords:oscillations, synaptic integration
Research Division:Biomedical and Clinical Sciences
Research Group:Neurosciences
Research Field:Cellular nervous system
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Connelly, WM (Dr William Connelly)
ID Code:131560
Year Published:2014
Web of Science® Times Cited:28
Deposited By:Medicine
Deposited On:2019-03-22
Last Modified:2019-05-01
Downloads:19 View Download Statistics

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