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

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.

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 Creators:
Leonhardt, Aljoscha1, Author              
Ammer, Georg1, Author              
Meier, Matthias1, Author              
Serbe, Etienne1, Author              
Bahl, Armin1, Author              
Borst, Alexander1, Author              
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1Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society, ou_1113548              

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Free keywords: NATURAL IMAGES; VISUAL INTERNEURONS; RESPONSE PROPERTIES; NEURAL CIRCUIT; STATISTICS; FLY; CELLS; PATHWAYS; VISION; RETINA
 Abstract: 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.

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Language(s): eng - English
 Dates: 2016
 Publication Status: Published in print
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000374762100010
DOI: 10.1038/nn.4262
 Degree: -

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Title: NATURE NEUROSCIENCE
Source Genre: Journal
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Publ. Info: 75 VARICK ST, 9TH FLR, NEW YORK, NY 10013-1917 USA : NATURE PUBLISHING GROUP
Pages: - Volume / Issue: 19 (5) Sequence Number: - Start / End Page: 706 - 715 Identifier: ISSN: 1097-6256