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  Neural Circuit to Integrate Opposing Motions in the Visual Field

Mauss, A. S., Pankova, K., Arenz, A., Nern, A., Rubin, G. M., & Borst, A. (2015). Neural Circuit to Integrate Opposing Motions in the Visual Field. CELL, 162(2), 351-362. doi:10.1016/j.cell.2015.06.035.

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 Creators:
Mauss, Alex S.1, Author           
Pankova, Katarina1, Author           
Arenz, Alexander1, Author           
Nern, Aljoscha2, Author
Rubin, Gerald M.2, Author
Borst, Alexander1, Author           
Affiliations:
1Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society, ou_1113548              
2external, ou_persistent22              

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Free keywords: LATERAL GENICULATE-NUCLEUS; OPTIC FLOW; DROSOPHILA-MELANOGASTER; DIRECTION SELECTIVITY; SENSITIVE NEURONS; LOBULA PLATE; COMPUTATIONAL STRUCTURE; RESPONSE PROPERTIES; GAIN-CONTROL; FLY
 Abstract: When navigating in their environment, animals use visual motion cues as feedback signals that are elicited by their own motion. Such signals are provided by wide-field neurons sampling motion directions at multiple image points as the animal maneuvers. Each one of these neurons responds selectively to a specific optic flow-field representing the spatial distribution of motion vectors on the retina. Here, we describe the discovery of a group of local, inhibitory interneurons in the fruit fly Drosophila key for filtering these cues. Using anatomy, molecular characterization, activity manipulation, and physiological recordings, we demonstrate that these interneurons convey direction-selective inhibition to wide-field neurons with opposite preferred direction and provide evidence for how their connectivity enables the computation required for integrating opposing motions. Our results indicate that, rather than sharpening directional selectivity per se, these circuit elements reduce noise by eliminating non-specific responses to complex visual information.

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Language(s): eng - English
 Dates: 2015
 Publication Status: Issued
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: CELL
Source Genre: Journal
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Publ. Info: 600 TECHNOLOGY SQUARE, 5TH FLOOR, CAMBRIDGE, MA 02139 USA : CELL PRESS
Pages: - Volume / Issue: 162 (2) Sequence Number: - Start / End Page: 351 - 362 Identifier: ISSN: 0092-8674