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Local motion detectors are required for the computation of expansion flow-fields
Author(s) -
Tabea Schilling,
Alexander Borst
Publication year - 2015
Publication title -
biology open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.936
H-Index - 41
ISSN - 2046-6390
DOI - 10.1242/bio.012690
Subject(s) - biology , computation , motion (physics) , flow (mathematics) , detector , statistical physics , computer science , physics , artificial intelligence , mechanics , algorithm , telecommunications
Avoidance of predators or impending collisions is important for survival. Approaching objects can be mimicked by expanding flow-fields. Tethered flying fruit flies, when confronted with an expansion flow-field, reliably turn away from the pole of expansion when presented laterally, or perform a landing response when presented frontally. Here, we show that the response to an expansion flow-field is independent of the overall luminance change and edge acceleration. As we demonstrate by blocking local motion-sensing neurons T4 and T5, the response depends crucially on the neural computation of appropriately aligned local motion vectors, using the same hardware that also controls the optomotor response to rotational flow-fields.

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