Abstract:
: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.
journal_name
Comput Intell Neuroscijournal_title
Computational intelligence and neuroscienceauthors
Memelli H,Horn KG,Wittie LD,Solomon ICdoi
10.1155/2012/575129subject
Has Abstractpub_date
2012-01-01 00:00:00pages
575129eissn
1687-5265issn
1687-5273journal_volume
2012pub_type
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