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Heuristic Rules Underlying Dragonfly Prey Selection and Interception

delete2017-04-01
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OA
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H
Huai-Ti Lin
A
Anthony Leonardo *
DOI:10.1016/j.cub.2017.03.010delete
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摘要

摘要

En 中文
Animals use rules to initiate behaviors. Such rules are often described as triggers that determine when behavior begins. However, although less explored, these selection rules are also an opportunity to establish sensorimotor constraints that influence how the behavior ends. These constraints may be particularly significant in influencing success in prey capture. Here we explore this in dragonfly prey interception. We found that in the moments leading up to takeoff, perched dragonflies employ a series of sensorimotor rules that determine the time of takeoff and increase the probability of successful capture. First, the dragonfly makes a head saccade followed by smooth pursuit movements to orient its direction-of-gaze at potential prey. Second, the dragonfly assesses whether the prey's angular size and speed co-vary within a privileged range. Finally, the dragonfly times the moment of its takeoff to a prediction of when the prey will cross the zenith. Each of these processes serves a purpose. The angular size-speed criteria biases interception flights to catchable prey, while the head movements and the predictive takeoff ensure flights begin with the prey visually fixated and directly overhead-the key parameters that underlie interception steering. Prey that do not elicit takeoff generally fail at least one of the criterion, and the loss of prey fixation or overhead positioning during flight is strongly correlated with terminated flights. Thus from an abundance of potential targets, the dragonfly selects a stereotyped set of takeoff conditions based on the prey and body states most likely to end in successful capture.
Keyword:
PRAYING-MANTIS
MOTION PARALLAX
ESCAPE RESPONSE
ELECTRIC FISH
EYE-MOVEMENTS
DISTANCE
PURSUIT
TARGET
CAPTURE
SUCCESS
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期刊

Current Biology 封面图
Current Biology
IF:
7.5
论文数:
2.3W
被引数:
7.8W

机构

H
Howard Hughes Medical Institute
学者数:
1.2W
论文数: 7.8K
被引数: 6.0W
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