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Behavioral control and changes in brain activity of honeybee during flapping

INTRODUCTION: Insect cyborg is a kind of novel robot based on insect–machine interface and principles of neurobiology. The key idea is to stimulate live insects by specific stimuli; thus, the flight trajectory of insects could be controlled as anticipated. However, the neuroregulatory mechanism of i...

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Autores principales: Ding, Haojia, Zhao, Jieliang, Yan, Shaoze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671781/
https://www.ncbi.nlm.nih.gov/pubmed/34807528
http://dx.doi.org/10.1002/brb3.2426
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author Ding, Haojia
Zhao, Jieliang
Yan, Shaoze
author_facet Ding, Haojia
Zhao, Jieliang
Yan, Shaoze
author_sort Ding, Haojia
collection PubMed
description INTRODUCTION: Insect cyborg is a kind of novel robot based on insect–machine interface and principles of neurobiology. The key idea is to stimulate live insects by specific stimuli; thus, the flight trajectory of insects could be controlled as anticipated. However, the neuroregulatory mechanism of insect flight has not been elucidated completely at present. METHODS: To explore the neuro‐mechanism of insect flight behaviors, a series of electrical stimulation was applied on the optic lobes of semi‐constrained honeybees. Times of flight initiation, flapping frequency, and duration were recorded by a high‐speed camera. In addition, flapping and steering initiation experiments of the cyborg honeybee were verified. Moreover, series of local field potential signals of optic lobes during flapping were collected, pre‐processed to remove baseline wander and DC components, then analyzed by power spectrum estimation. RESULTS: A quantitative optimization method and optimal stimulation parameters of flight initiation were presented. Stimulation results showed that the flapping duration differed greatly while the flapping frequency varied with little difference among different individuals. Moreover, there was always a fluctuation peak around 20–30 Hz in power spectral density (PSD) curves during flapping, distinguishing from calm state, which indicated some brain activity changes during flapping. CONCLUSIONS: Our study presented a range of relatively optimal electrical parameters to initiate honeybee flight behavior. Meanwhile, the regularity of flapping duration and flapping frequency under electrical stimulations with different parameters were given. The feasibility of controlling a honeybee's flight behavior by brain electrical stimulation was verified through the flapping and steering initiation experiment of honeybees under semi‐constrained state. PSD fluctuations reflected changes in brain activity during flapping and that those fluctuation characteristics at the specific frequency band could be sensitive determinants to distinguish whether the honeybee was flying or not, which benefits our understanding of honeybee's flapping behavior and furthers the study of honeybee cyborgs.
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spelling pubmed-86717812021-12-21 Behavioral control and changes in brain activity of honeybee during flapping Ding, Haojia Zhao, Jieliang Yan, Shaoze Brain Behav Original Research INTRODUCTION: Insect cyborg is a kind of novel robot based on insect–machine interface and principles of neurobiology. The key idea is to stimulate live insects by specific stimuli; thus, the flight trajectory of insects could be controlled as anticipated. However, the neuroregulatory mechanism of insect flight has not been elucidated completely at present. METHODS: To explore the neuro‐mechanism of insect flight behaviors, a series of electrical stimulation was applied on the optic lobes of semi‐constrained honeybees. Times of flight initiation, flapping frequency, and duration were recorded by a high‐speed camera. In addition, flapping and steering initiation experiments of the cyborg honeybee were verified. Moreover, series of local field potential signals of optic lobes during flapping were collected, pre‐processed to remove baseline wander and DC components, then analyzed by power spectrum estimation. RESULTS: A quantitative optimization method and optimal stimulation parameters of flight initiation were presented. Stimulation results showed that the flapping duration differed greatly while the flapping frequency varied with little difference among different individuals. Moreover, there was always a fluctuation peak around 20–30 Hz in power spectral density (PSD) curves during flapping, distinguishing from calm state, which indicated some brain activity changes during flapping. CONCLUSIONS: Our study presented a range of relatively optimal electrical parameters to initiate honeybee flight behavior. Meanwhile, the regularity of flapping duration and flapping frequency under electrical stimulations with different parameters were given. The feasibility of controlling a honeybee's flight behavior by brain electrical stimulation was verified through the flapping and steering initiation experiment of honeybees under semi‐constrained state. PSD fluctuations reflected changes in brain activity during flapping and that those fluctuation characteristics at the specific frequency band could be sensitive determinants to distinguish whether the honeybee was flying or not, which benefits our understanding of honeybee's flapping behavior and furthers the study of honeybee cyborgs. John Wiley and Sons Inc. 2021-11-22 /pmc/articles/PMC8671781/ /pubmed/34807528 http://dx.doi.org/10.1002/brb3.2426 Text en © 2021 The Authors. Brain and Behavior published by Wiley Periodicals LLC https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Ding, Haojia
Zhao, Jieliang
Yan, Shaoze
Behavioral control and changes in brain activity of honeybee during flapping
title Behavioral control and changes in brain activity of honeybee during flapping
title_full Behavioral control and changes in brain activity of honeybee during flapping
title_fullStr Behavioral control and changes in brain activity of honeybee during flapping
title_full_unstemmed Behavioral control and changes in brain activity of honeybee during flapping
title_short Behavioral control and changes in brain activity of honeybee during flapping
title_sort behavioral control and changes in brain activity of honeybee during flapping
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671781/
https://www.ncbi.nlm.nih.gov/pubmed/34807528
http://dx.doi.org/10.1002/brb3.2426
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