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Enhancement of Neuronal Activity by Receptor-Mediated Gliotransmission

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Advances in Neural Networks - ISNN 2017 (ISNN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10262))

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Abstract

Transporters, embedded in glial plasma membranes, can regulate ambient GABA levels. We proposed here a neural network model with a GABAergic gliotransmission mechanism, and simulated the model to investigate how the type of GABA receptors on glia affects neuronal information processing. Although the synaptic interneuron-glia signaling via receptors slows the modulation of ambient GABA levels compared to that via receptors, it could increase principal cell activity and accelerate their reaction speed to an applied feature stimulus. Our preliminary simulation result suggests that receptors, generally expressed by glia (astrocytes), may improve the perceptual performance of the sensory cortex.

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Authors and Affiliations

  1. Department of Intelligent Systems Engineering, Ibaraki University, 4-12-1 Nakanarusawa, Hitachi, Ibaraki, 316-8511, Japan

    Taira Kobayashi, Asahi Ishiyama & Osamu Hoshino

  2. Southern Tohoku Research Institute for Neuroscience, Southern Tohoku General Hospital, 7-115, Yatsuyamada, Koriyama, Fukushima, 963-8563, Japan

    Osamu Hoshino

Authors
  1. Taira Kobayashi
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  2. Asahi Ishiyama
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  3. Osamu Hoshino
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Corresponding author

Correspondence to Taira Kobayashi .

Editor information

Editors and Affiliations

  1. Dalian University of Technology, Dalian, China

    Fengyu Cong

  2. City University of Hong Kong, Kowloon Tong, Hong Kong

    Andrew Leung

  3. Chinese Academy of Sciences, Beijing, China

    Qinglai Wei

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Kobayashi, T., Ishiyama, A., Hoshino, O. (2017). Enhancement of Neuronal Activity by Receptor-Mediated Gliotransmission. In: Cong, F., Leung, A., Wei, Q. (eds) Advances in Neural Networks - ISNN 2017. ISNN 2017. Lecture Notes in Computer Science(), vol 10262. Springer, Cham. https://doi.org/10.1007/978-3-319-59081-3_56

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  • DOI: https://doi.org/10.1007/978-3-319-59081-3_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59080-6

  • Online ISBN: 978-3-319-59081-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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