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A Flying Platform to Investigate Neuronal Correlates of Navigation in the Honey Bee (Apis mellifera)
Navigating animals combine multiple perceptual faculties, learn during exploration, retrieve multi-facetted memory contents, and exhibit goal-directedness as an expression of their current needs and motivations. Navigation in insects has been linked to a variety of underlying strategies such as path...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329708/ https://www.ncbi.nlm.nih.gov/pubmed/34354573 http://dx.doi.org/10.3389/fnbeh.2021.690571 |
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author | Paffhausen, Benjamin H. Petrasch, Julian Wild, Benjamin Meurers, Thierry Schülke, Tobias Polster, Johannes Fuchs, Inga Drexler, Helmut Kuriatnyk, Oleksandra Menzel, Randolf Landgraf, Tim |
author_facet | Paffhausen, Benjamin H. Petrasch, Julian Wild, Benjamin Meurers, Thierry Schülke, Tobias Polster, Johannes Fuchs, Inga Drexler, Helmut Kuriatnyk, Oleksandra Menzel, Randolf Landgraf, Tim |
author_sort | Paffhausen, Benjamin H. |
collection | PubMed |
description | Navigating animals combine multiple perceptual faculties, learn during exploration, retrieve multi-facetted memory contents, and exhibit goal-directedness as an expression of their current needs and motivations. Navigation in insects has been linked to a variety of underlying strategies such as path integration, view familiarity, visual beaconing, and goal-directed orientation with respect to previously learned ground structures. Most works, however, study navigation either from a field perspective, analyzing purely behavioral observations, or combine computational models with neurophysiological evidence obtained from lab experiments. The honey bee (Apis mellifera) has long been a popular model in the search for neural correlates of complex behaviors and exhibits extraordinary navigational capabilities. However, the neural basis for bee navigation has not yet been explored under natural conditions. Here, we propose a novel methodology to record from the brain of a copter-mounted honey bee. This way, the animal experiences natural multimodal sensory inputs in a natural environment that is familiar to her. We have developed a miniaturized electrophysiology recording system which is able to record spikes in the presence of time-varying electric noise from the copter's motors and rotors, and devised an experimental procedure to record from mushroom body extrinsic neurons (MBENs). We analyze the resulting electrophysiological data combined with a reconstruction of the animal's visual perception and find that the neural activity of MBENs is linked to sharp turns, possibly related to the relative motion of visual features. This method is a significant technological step toward recording brain activity of navigating honey bees under natural conditions. By providing all system specifications in an online repository, we hope to close a methodological gap and stimulate further research informing future computational models of insect navigation. |
format | Online Article Text |
id | pubmed-8329708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83297082021-08-04 A Flying Platform to Investigate Neuronal Correlates of Navigation in the Honey Bee (Apis mellifera) Paffhausen, Benjamin H. Petrasch, Julian Wild, Benjamin Meurers, Thierry Schülke, Tobias Polster, Johannes Fuchs, Inga Drexler, Helmut Kuriatnyk, Oleksandra Menzel, Randolf Landgraf, Tim Front Behav Neurosci Behavioral Neuroscience Navigating animals combine multiple perceptual faculties, learn during exploration, retrieve multi-facetted memory contents, and exhibit goal-directedness as an expression of their current needs and motivations. Navigation in insects has been linked to a variety of underlying strategies such as path integration, view familiarity, visual beaconing, and goal-directed orientation with respect to previously learned ground structures. Most works, however, study navigation either from a field perspective, analyzing purely behavioral observations, or combine computational models with neurophysiological evidence obtained from lab experiments. The honey bee (Apis mellifera) has long been a popular model in the search for neural correlates of complex behaviors and exhibits extraordinary navigational capabilities. However, the neural basis for bee navigation has not yet been explored under natural conditions. Here, we propose a novel methodology to record from the brain of a copter-mounted honey bee. This way, the animal experiences natural multimodal sensory inputs in a natural environment that is familiar to her. We have developed a miniaturized electrophysiology recording system which is able to record spikes in the presence of time-varying electric noise from the copter's motors and rotors, and devised an experimental procedure to record from mushroom body extrinsic neurons (MBENs). We analyze the resulting electrophysiological data combined with a reconstruction of the animal's visual perception and find that the neural activity of MBENs is linked to sharp turns, possibly related to the relative motion of visual features. This method is a significant technological step toward recording brain activity of navigating honey bees under natural conditions. By providing all system specifications in an online repository, we hope to close a methodological gap and stimulate further research informing future computational models of insect navigation. Frontiers Media S.A. 2021-07-20 /pmc/articles/PMC8329708/ /pubmed/34354573 http://dx.doi.org/10.3389/fnbeh.2021.690571 Text en Copyright © 2021 Paffhausen, Petrasch, Wild, Meurers, Schülke, Polster, Fuchs, Drexler, Kuriatnyk, Menzel and Landgraf. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Behavioral Neuroscience Paffhausen, Benjamin H. Petrasch, Julian Wild, Benjamin Meurers, Thierry Schülke, Tobias Polster, Johannes Fuchs, Inga Drexler, Helmut Kuriatnyk, Oleksandra Menzel, Randolf Landgraf, Tim A Flying Platform to Investigate Neuronal Correlates of Navigation in the Honey Bee (Apis mellifera) |
title | A Flying Platform to Investigate Neuronal Correlates of Navigation in the Honey Bee (Apis mellifera) |
title_full | A Flying Platform to Investigate Neuronal Correlates of Navigation in the Honey Bee (Apis mellifera) |
title_fullStr | A Flying Platform to Investigate Neuronal Correlates of Navigation in the Honey Bee (Apis mellifera) |
title_full_unstemmed | A Flying Platform to Investigate Neuronal Correlates of Navigation in the Honey Bee (Apis mellifera) |
title_short | A Flying Platform to Investigate Neuronal Correlates of Navigation in the Honey Bee (Apis mellifera) |
title_sort | flying platform to investigate neuronal correlates of navigation in the honey bee (apis mellifera) |
topic | Behavioral Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329708/ https://www.ncbi.nlm.nih.gov/pubmed/34354573 http://dx.doi.org/10.3389/fnbeh.2021.690571 |
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