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dc.contributor.authorSchmalz, Fabian
dc.contributor.authorel Jundi, Basil
dc.contributor.authorRoessler, Wolfgang
dc.contributor.authorStrube-Bloss, Martin F.
dc.date.accessioned2023-01-30T12:59:06Z
dc.date.available2023-01-30T12:59:06Z
dc.date.created2022-08-25T16:37:02Z
dc.date.issued2022
dc.identifier.citationFrontiers in Physiology. 2022, 13 .en_US
dc.identifier.issn1664-042X
dc.identifier.urihttps://hdl.handle.net/11250/3047133
dc.description.abstractMultisensory integration plays a central role in perception, as all behaviors usually require the input of different sensory signals. For instance, for a foraging honeybee the association of a food source includes the combination of olfactory and visual cues to be categorized as a flower. Moreover, homing after successful foraging using celestial cues and the panoramic scenery may be dominated by visual cues. Hence, dependent on the context, one modality might be leading and influence the processing of other modalities. To unravel the complex neural mechanisms behind this process we studied honeybee mushroom body output neurons (MBON). MBONs represent the first processing level after olfactory-visual convergence in the honeybee brain. This was physiologically confirmed in our previous study by characterizing a subpopulation of multisensory MBONs. These neurons categorize incoming sensory inputs into olfactory, visual, and olfactory-visual information. However, in addition to multisensory units a prominent population of MBONs was sensitive to visual cues only. Therefore, we asked which visual features might be represented at this high-order integration level. Using extracellular, multi-unit recordings in combination with visual and olfactory stimulation, we separated MBONs with multisensory responses from purely visually driven MBONs. Further analysis revealed, for the first time, that visually driven MBONs of both groups encode detailed aspects within this individual modality, such as light intensity and light identity. Moreover, we show that these features are separated by different MBON subpopulations, for example by extracting information about brightness and wavelength. Most interestingly, the latter MBON population was tuned to separate UV-light from other light stimuli, which were only poorly differentiated from each other. A third MBON subpopulation was neither tuned to brightness nor to wavelength and encoded the general presence of light. Taken together, our results support the view that the mushroom body, a high-order sensory integration, learning and memory center in the insect brain, categorizes sensory information by separating different behaviorally relevant aspects of the multisensory scenery and that these categories are channeled into distinct MBON subpopulations.en_US
dc.language.isoengen_US
dc.publisherFrontiers Mediaen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCategorizing visual information in subpopulations of honeybee mushroom body output neuronsen_US
dc.title.alternativeCategorizing visual information in subpopulations of honeybee mushroom body output neuronsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber11en_US
dc.source.volume13en_US
dc.source.journalFrontiers in Physiologyen_US
dc.identifier.doi10.3389/fphys.2022.866807
dc.identifier.cristin2046149
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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