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Title
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Astrocyte’s self-repairing characteristics improve working memory in spiking neuronal networks
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Author
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Abstract
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| Astrocytes play a significant role in the working memory (WM) mechanism, yet their contribution to spiking neuron-astrocyte networks (SNAN) is underexplored. This study proposes a non-probabilistic SNAN incorporating a self-repairing (SR) mechanism through endocannabinoid pathways to facilitate WM function. Four experiments were conducted with different damaging patterns, replicating close-to-realistic synaptic impairments. Simulation results suggest that the SR process enhances WM performance by improving the consistency of neuronal firing. Moreover, the intercellular astrocytic [Ca]2+ transmission via gap junctions improves WM and SR processes. With increasing damage, WM and SR activities initially fail for non-matched samples and then for smaller and minimally overlapping matched samples. Simulation results also indicate that the inclusion of the SR mechanism in both random and continuous forms of damage improves the resilience of the WM by approximately 20%. This study highlights the importance of astrocytes in synaptically impaired networks. |
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Language
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English
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Source (journal)
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iScience
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Publication
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Elsevier
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2023
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ISSN
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2589-0042
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DOI
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10.1016/J.ISCI.2023.108241
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Volume/pages
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26
:12
(2023)
, p. 1-24
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Article Reference
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108241
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ISI
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001149578300001
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Pubmed ID
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38047076
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Medium
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E-only publicatie
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Full text (Publisher's DOI)
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Full text (open access)
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