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

doi:10.1007/978-3-319-68600-4_46

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 proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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 language	English
Title of host publication	Artificial Neural Networks and Machine Learning – ICANN 2017 - 26th International Conference on Artificial Neural Networks, Proceedings
Subtitle of host publication	26th International Conference on Artificial Neural Networks Alghero, Italy, September 11–14, 2017 Proceedings, Part I
Editors	Paul F. Verschure, Alessandra Lintas, Alessandro E. Villa, Stefano Rovetta
Place of Publication	Cham, Switzerland
Publisher	Springer-Verlag
Pages	397-404
Number of pages	8
ISBN (Print)	9783319685991, 9783319686004
DOIs	https://doi.org/10.1007/978-3-319-68600-4_46
Publication status	Published - 1 Jan 2017
Externally published	Yes
Event	26th International Conference on Artificial Neural Networks, ICANN 2017 - Alghero, Italy Duration: 11 Sept 2017 → 14 Sept 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10613 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	26th International Conference on Artificial Neural Networks, ICANN 2017
Country/Territory	Italy
City	Alghero
Period	11/09/17 → 14/09/17

Keywords

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

Access to Document

10.1007/978-3-319-68600-4_46Licence: In Copyright

https://rdcu.be/dBeYTLicence: In Copyright

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

Bekkouche, Bo ; Shoemaker, Patrick A. ; Fabian, Joseph et al. / Multicompartment simulations of NMDA receptor based facilitation in an insect target tracking neuron. 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. editor / Paul F. Verschure ; Alessandra Lintas ; Alessandro E. Villa ; Stefano Rovetta. Cham, Switzerland : Springer-Verlag, 2017. pp. 397-404 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{ac5e7d5de9374de6b3f64fd46f9b630b,

title = "Multicompartment simulations of NMDA receptor based facilitation in an insect target tracking neuron",

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.",

keywords = "Bioinspired, Computational neuroscience, Facilitation, Model, Multicompartment, Selective attention, Simulation, Small target motion detection",

author = "Bo Bekkouche and Shoemaker, {Patrick A.} and Joseph Fabian and Elisa Rigosi and Wiederman, {Steven D.} and O{\textquoteright}Carroll, {David C.}",

year = "2017",

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doi = "10.1007/978-3-319-68600-4_46",

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Bekkouche, B, Shoemaker, PA, Fabian, J, Rigosi, E, Wiederman, SD & O’Carroll, DC 2017, Multicompartment simulations of NMDA receptor based facilitation in an insect target tracking neuron. in PF Verschure, A Lintas, AE 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10613 LNCS, Springer-Verlag, Cham, Switzerland, pp. 397-404, 26th International Conference on Artificial Neural Networks, ICANN 2017, Alghero, Italy, 11/09/17. https://doi.org/10.1007/978-3-319-68600-4_46

Multicompartment simulations of NMDA receptor based facilitation in an insect target tracking neuron. / Bekkouche, Bo; Shoemaker, Patrick A.; Fabian, Joseph et al.
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. ed. / Paul F. Verschure; Alessandra Lintas; Alessandro E. Villa; Stefano Rovetta. Cham, Switzerland: Springer-Verlag, 2017. p. 397-404 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10613 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multicompartment simulations of NMDA receptor based facilitation in an insect target tracking neuron

AU - Bekkouche, Bo

AU - Shoemaker, Patrick A.

AU - Fabian, Joseph

AU - Rigosi, Elisa

AU - Wiederman, Steven D.

AU - O’Carroll, David C.

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N2 - 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.

AB - 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.

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Bekkouche B, Shoemaker PA, Fabian J, Rigosi E, Wiederman SD, O’Carroll DC. Multicompartment simulations of NMDA receptor based facilitation in an insect target tracking neuron. In Verschure PF, Lintas A, Villa AE, Rovetta S, editors, 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. Cham, Switzerland: Springer-Verlag. 2017. p. 397-404. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-68600-4_46

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

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