Multicompartment simulations of NMDA receptor based facilitation in an insect target tracking neuron

Bo Bekkouche, Patrick A. Shoemaker, Joseph Fabian, Elisa Rigosi, Steven D. Wiederman, David C. O’Carroll

    Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

    Abstract

    Computational modelling of neurons on different scales provides not only methods to explore mechanisms observed in vivo but also for testing hypotheses that would be impossible physiologically. In this paper we present initial computational analysis of insect lobula small target motion detector (STMD) neurons. We simulate a multicompartment model in combination with a bioinspired model for front-end processing. This combination of different simulation environments enables a combination of scale and detail not possible otherwise. The addressed hypothesis is that facilitation involves N-methyl-D-aspartate (NMDA) synapses which map retinotopically onto the dendritic tree of the STMD neuron. Our results show that a stronger response (facilitation) is generated when using continuous visual stimuli as opposed to random jumps. We observe two levels of facilitation which may be involved in selective attention.

    Original languageEnglish
    Title of host publicationArtificial Neural Networks and Machine Learning – ICANN 2017 - 26th International Conference on Artificial Neural Networks, Proceedings
    PublisherSpringer
    Pages397-404
    Number of pages8
    Volume10613 LNCS
    ISBN (Print)9783319685991
    DOIs
    Publication statusPublished - 2017
    Event26th International Conference on Artificial Neural Networks, ICANN 2017 - Alghero, Italy
    Duration: 2017 Sept 112017 Sept 14

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10613 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference26th International Conference on Artificial Neural Networks, ICANN 2017
    Country/TerritoryItaly
    CityAlghero
    Period2017/09/112017/09/14

    Subject classification (UKÄ)

    • Bioinformatics (Computational Biology)

    Free keywords

    • Bioinspired
    • Computational neuroscience
    • Facilitation
    • Model
    • Multicompartment
    • Selective attention
    • Simulation
    • Small target motion detection

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