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

Author:
  • Bo Bekkouche
  • Patrick A. Shoemaker
  • Joseph Fabian
  • Elisa Rigosi
  • Steven D. Wiederman
  • David C. O’Carroll
Publishing year: 2017
Language: English
Pages: 397-404
Publication/Series: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 10613 LNCS
Document type: Conference paper
Publisher: Springer

Abstract english

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.

Keywords

  • Bioinformatics (Computational Biology)
  • Bioinspired
  • Computational neuroscience
  • Facilitation
  • Model
  • Multicompartment
  • Selective attention
  • Simulation
  • Small target motion detection

Other

26th International Conference on Artificial Neural Networks, ICANN 2017
2017-09-11 - 2017-09-14
Alghero, Italy
Published
  • ISSN: 1611-3349
  • ISSN: 0302-9743
  • ISBN: 9783319685991
Bo Bekkouche
E-mail: bo [dot] bekkouche [at] biol [dot] lu [dot] se

Doctoral student

Functional zoology

B-C122

4

Research group

Animal Physiology

Projects

Visual Neurophysiology

Supervisors

Main supervisor

David O'Carroll

Assistant supervisor

Elisa Rigosi