A chemosensory navigation model inspired by the neural odour processing mechanism in cockroaches

Alejandro Pequeno Zurro; Inaki Rano; Danish Shaikh

doi:10.1109/CBS46900.2019.9114486

A chemosensory navigation model inspired by the neural odour processing mechanism in cockroaches

Alejandro Pequeno Zurro^*, Inaki Rano, Danish Shaikh

^*Corresponding author for this work

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

Abstract

Cockroaches orient towards and track plumes of airborne odours using simple yet sophisticated processing of odour concentration stimuli. The orientation behaviour is driven not only by instantaneous sampling of odour concentration but by the temporal dynamics of the odour signal as well. These temporal changes in the odour signal are processed by specialised ON-OFF olfactory receptor neurons that encode rate of change of odour concentration. We present a neurorobotic model for chemosensory navigation that implements such sensory processing. Our model is embodied in a simulated Braitenberg vehicle that can orient towards and track an odour plume characterised by a Gaussian distribution of odour concentration. The model’s parameters are tuned via an optimisation algorithm. Our simulation results demonstrate that the vehicle with optimised model parameters is able to orient towards the plume.

Original language	English
Title of host publication	Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems
Number of pages	7
Publisher	IEEE
Publication date	2019
Pages	17-23
ISBN (Print)	978-1-7281-5074-1
ISBN (Electronic)	978-1-7281-5073-4
DOIs	https://doi.org/10.1109/CBS46900.2019.9114486
Publication status	Published - 2019
Event	2019 IEEE International Conference on Cyborg and Bionic Systems and HBP Workshop - Technical University of Munich, Munich, Germany Duration: 18. Sep 2019 → 20. Sep 2019

Conference

Conference	2019 IEEE International Conference on Cyborg and Bionic Systems and HBP Workshop
Location	Technical University of Munich
Country	Germany
City	Munich
Period	18/09/2019 → 20/09/2019

Documents & Links

10.1109/CBS46900.2019.9114486

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@inproceedings{13c0ed4c694048c29aff4b25f34fcaff,

title = "A chemosensory navigation model inspired by the neural odour processing mechanism in cockroaches",

abstract = "Cockroaches orient towards and track plumes of airborne odours using simple yet sophisticated processing of odour concentration stimuli. The orientation behaviour is driven not only by instantaneous sampling of odour concentration but by the temporal dynamics of the odour signal as well. These temporal changes in the odour signal are processed by specialised ON-OFF olfactory receptor neurons that encode rate of change of odour concentration. We present a neurorobotic model for chemosensory navigation that implements such sensory processing. Our model is embodied in a simulated Braitenberg vehicle that can orient towards and track an odour plume characterised by a Gaussian distribution of odour concentration. The model{\textquoteright}s parameters are tuned via an optimisation algorithm. Our simulation results demonstrate that the vehicle with optimised model parameters is able to orient towards the plume.",

author = "Zurro, {Alejandro Pequeno} and Inaki Rano and Danish Shaikh",

year = "2019",

doi = "10.1109/CBS46900.2019.9114486",

language = "English",

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pages = "17--23",

booktitle = "Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems",

publisher = "IEEE",

address = "United States",

note = "2019 IEEE International Conference on Cyborg and Bionic Systems and HBP Workshop ; Conference date: 18-09-2019 Through 20-09-2019",

}

Zurro, AP, Rano, I & Shaikh, D 2019, A chemosensory navigation model inspired by the neural odour processing mechanism in cockroaches. in Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems. IEEE, pp. 17-23, 2019 IEEE International Conference on Cyborg and Bionic Systems and HBP Workshop, Munich, Germany, 18/09/2019. https://doi.org/10.1109/CBS46900.2019.9114486

A chemosensory navigation model inspired by the neural odour processing mechanism in cockroaches. / Zurro, Alejandro Pequeno; Rano, Inaki ; Shaikh, Danish.

Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems. IEEE, 2019. p. 17-23.

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

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N2 - Cockroaches orient towards and track plumes of airborne odours using simple yet sophisticated processing of odour concentration stimuli. The orientation behaviour is driven not only by instantaneous sampling of odour concentration but by the temporal dynamics of the odour signal as well. These temporal changes in the odour signal are processed by specialised ON-OFF olfactory receptor neurons that encode rate of change of odour concentration. We present a neurorobotic model for chemosensory navigation that implements such sensory processing. Our model is embodied in a simulated Braitenberg vehicle that can orient towards and track an odour plume characterised by a Gaussian distribution of odour concentration. The model’s parameters are tuned via an optimisation algorithm. Our simulation results demonstrate that the vehicle with optimised model parameters is able to orient towards the plume.

AB - Cockroaches orient towards and track plumes of airborne odours using simple yet sophisticated processing of odour concentration stimuli. The orientation behaviour is driven not only by instantaneous sampling of odour concentration but by the temporal dynamics of the odour signal as well. These temporal changes in the odour signal are processed by specialised ON-OFF olfactory receptor neurons that encode rate of change of odour concentration. We present a neurorobotic model for chemosensory navigation that implements such sensory processing. Our model is embodied in a simulated Braitenberg vehicle that can orient towards and track an odour plume characterised by a Gaussian distribution of odour concentration. The model’s parameters are tuned via an optimisation algorithm. Our simulation results demonstrate that the vehicle with optimised model parameters is able to orient towards the plume.

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