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Asymmetry of Drosophila ON and OFF motion detectors enhances real-world velocity estimation

MPG-Autoren
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Leonhardt,  Aljoscha
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Ammer,  Georg
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Meier,  Matthias
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Serbe,  Etienne
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Bahl,  Armin
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Borst,  Alexander
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Zitation

Leonhardt, A., Ammer, G., Meier, M., Serbe, E., Bahl, A., & Borst, A. (2016). Asymmetry of Drosophila ON and OFF motion detectors enhances real-world velocity estimation. NATURE NEUROSCIENCE, 19(5), 706-715. doi:10.1038/nn.4262.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-002A-6F62-0
Zusammenfassung
The reliable estimation of motion across varied surroundings represents a survival-critical task for sighted animals. How neural circuits have adapted to the particular demands of natural environments, however, is not well understood. We explored this question in the visual system of Drosophila melanogaster. Here, as in many mammalian retinas, motion is computed in parallel streams for brightness increments (ON) and decrements (OFF). When genetically isolated, ON and OFF pathways proved equally capable of accurately matching walking responses to realistic motion. To our surprise, detailed characterization of their functional tuning properties through in vivo calcium imaging and electrophysiology revealed stark differences in temporal tuning between ON and OFF channels. We trained an in silico motion estimation model on natural scenes and discovered that our optimized detector exhibited differences similar to those of the biological system. Thus, functional ON-OFF asymmetries in fly visual circuitry may reflect ON-OFF asymmetries in natural environments.