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Multicompartment si...
Multicompartment simulations of NMDA receptor based facilitation in an insect target tracking neuron
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- Bekkouche, Bo (author)
- Lund University,Lunds universitet,Funktionell zoologi,Biologiska institutionen,Naturvetenskapliga fakulteten,Functional zoology,Department of Biology,Faculty of Science
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- Shoemaker, Patrick A. (author)
- San Diego State University
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- Fabian, Joseph (author)
- University of Adelaide
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- Rigosi, Elisa (author)
- Lund University,Lunds universitet,Funktionell zoologi,Biologiska institutionen,Naturvetenskapliga fakulteten,Functional zoology,Department of Biology,Faculty of Science
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- Wiederman, Steven D. (author)
- University of Adelaide
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- O’Carroll, David C. (author)
- Lund University,Lunds universitet,Funktionell zoologi,Biologiska institutionen,Naturvetenskapliga fakulteten,Functional zoology,Department of Biology,Faculty of Science
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(creator_code:org_t)
- 2017-10-24
- 2017
- English 8 s.
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In: Artificial Neural Networks and Machine Learning – ICANN 2017 - 26th International Conference on Artificial Neural Networks, Proceedings. - Cham : Springer International Publishing. - 0302-9743 .- 1611-3349. - 9783319685991 ; 10613 LNCS, s. 397-404
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Keyword
- Bioinspired
- Computational neuroscience
- Facilitation
- Model
- Multicompartment
- Selective attention
- Simulation
- Small target motion detection
Publication and Content Type
- kon (subject category)
- ref (subject category)
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