%0 Journal Article %1 schmalz2022categorizing %A Schmalz, Fabian %A el Jundi, Basil %A Rössler, Wolfgang %A Strube-Bloss, Martin %D 2022 %I Frontiers %J Frontiers in Physiology %K ag_el_jundi ag_roessler ag_strube-bloss zoo_2 %R 10.3389/fphys.2022.866807 %T Categorizing Visual Information in Subpopulations of Honeybee Mushroom Body Output Neurons %U https://www.frontiersin.org/articles/10.3389/fphys.2022.866807/full %V 13 %X Multisensory 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.

@article{schmalz2022categorizing, abstract = {Multisensory 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.}, added-at = {2022-04-29T12:39:22.000+0200}, author = {Schmalz, Fabian and el Jundi, Basil and Rössler, Wolfgang and Strube-Bloss, Martin}, biburl = {https://www.bibsonomy.org/bibtex/23223dc185e32f6e448de5d7ae6c9e931/zoologieii}, description = {Frontiers | Categorizing Visual Information in Subpopulations of Honeybee Mushroom Body Output Neurons | Physiology}, doi = {10.3389/fphys.2022.866807}, interhash = {cf89739a552d03a8be404f68f4d9a4c8}, intrahash = {3223dc185e32f6e448de5d7ae6c9e931}, issn = {1664-042X}, journal = {Frontiers in Physiology}, keywords = {ag_el_jundi ag_roessler ag_strube-bloss zoo_2}, publisher = {Frontiers}, timestamp = {2024-01-10T10:07:38.000+0100}, title = {Categorizing Visual Information in Subpopulations of Honeybee Mushroom Body Output Neurons}, type = {article}, url = {https://www.frontiersin.org/articles/10.3389/fphys.2022.866807/full}, volume = 13, year = 2022 }