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 proceedingConference contribution

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
Subtitle of host publication26th International Conference on Artificial Neural Networks Alghero, Italy, September 11–14, 2017 Proceedings, Part I
EditorsPaul F. Verschure, Alessandra Lintas, Alessandro E. Villa, Stefano Rovetta
Place of PublicationCham, Switzerland
PublisherSpringer-Verlag
Pages397-404
Number of pages8
ISBN (Print)9783319685991, 9783319686004
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event26th International Conference on Artificial Neural Networks, ICANN 2017 - Alghero, Italy
Duration: 11 Sep 201714 Sep 2017

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
CountryItaly
CityAlghero
Period11/09/1714/09/17

Keywords

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

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  • Cite this

    Bekkouche, B., Shoemaker, P. A., Fabian, J., Rigosi, E., Wiederman, S. D., & O’Carroll, D. C. (2017). Multicompartment simulations of NMDA receptor based facilitation in an insect target tracking neuron. In P. F. Verschure, A. Lintas, A. E. Villa, & S. Rovetta (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2017 - 26th International Conference on Artificial Neural Networks, Proceedings: 26th International Conference on Artificial Neural Networks Alghero, Italy, September 11–14, 2017 Proceedings, Part I (pp. 397-404). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10613 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-68600-4_46