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Analyzing the Effects of Gap Junction Blockade on Neural Synchrony via a Motoneuron Network Computational Model
Joint Authors
Solomon, Irene C.
Memelli, Heraldo
Wittie, Larry D.
Horn, Kyle G.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In specific regions of the central nervous system (CNS), gap junctions have been shown to participate in neuronal synchrony.
Amongst the CNS regions identified, some populations of brainstem motoneurons are known to be coupled by gap junctions.
The application of various gap junction blockers to these motoneuron populations, however, has led to mixed results regarding their synchronous firing behavior, with some studies reporting a decrease in synchrony while others surprisingly find an increase in synchrony.
To address this discrepancy, we employ a neuronal network model of Hodgkin-Huxley-style motoneurons connected by gap junctions.
Using this model, we implement a series of simulations and rigorously analyze their outcome, including the calculation of a measure of neuronal synchrony.
Our simulations demonstrate that under specific conditions, uncoupling of gap junctions is capable of producing either a decrease or an increase in neuronal synchrony.
Subsequently, these simulations provide mechanistic insight into these different outcomes.
American Psychological Association (APA)
Memelli, Heraldo& Horn, Kyle G.& Wittie, Larry D.& Solomon, Irene C.. 2012. Analyzing the Effects of Gap Junction Blockade on Neural Synchrony via a Motoneuron Network Computational Model. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-482012
Modern Language Association (MLA)
Memelli, Heraldo…[et al.]. Analyzing the Effects of Gap Junction Blockade on Neural Synchrony via a Motoneuron Network Computational Model. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-482012
American Medical Association (AMA)
Memelli, Heraldo& Horn, Kyle G.& Wittie, Larry D.& Solomon, Irene C.. Analyzing the Effects of Gap Junction Blockade on Neural Synchrony via a Motoneuron Network Computational Model. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-482012
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482012