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Conserved behavioral circuits govern high-speed decision-making in wild fish shoals

机译:保守的行为回路控制着野生鱼群的高速决策

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摘要

To evade their predators, animals must quickly detect potential threats, gauge risk, and mount a response. Putative neural circuits responsible for these tasks have been isolated in laboratory studies. However, it is unclear whether and how these circuits combine to generate the flexible, dynamic sequences of evasion behavior exhibited by wild, freely moving animals. Here, we report that evasion behavior of wild fish on a coral reef is generated through a sequence of well-defined decision rules that convert visual sensory input into behavioral actions. Using an automated system to present visual threat stimuli to fish in situ, we show that individuals initiate escape maneuvers in response to the perceived size and expansion rate of an oncoming threat using a decision rule that matches dynamics of known loom-sensitive neural circuits. After initiating an evasion maneuver, fish adjust their trajectories using a control rule based on visual feedback to steer away from the threat and toward shelter. These decision rules accurately describe evasion behavior of fish from phylogenetically distant families, illustrating the conserved nature of escape decision-making. Our results reveal how the flexible behavioral responses required for survival can emerge from relatively simple, conserved decision-making mechanisms.
机译:为了逃避捕食者,动物必须迅速发现潜在威胁,评估风险并做出反应。负责这些任务的假定神经回路已在实验室研究中分离出来。然而,目前尚不清楚这些电路是否以及如何组合以产生自由移动的野生动物所表现出的灵活,动态的规避行为序列。在这里,我们报告说,野生鱼类在珊瑚礁上的躲避行为是通过一系列明确定义的决策规则生成的,这些决策规则将视觉感觉输入转换为行为行为。使用自动化系统呈现对鱼类的视觉威胁刺激,我们发现个体使用与已知的织机敏感的神经回路动力学相匹配的决策规则,对即将到来的威胁的感知大小和扩展速度发起逃避机动。启动回避策略后,鱼会根据视觉反馈使用控制规则来调整其轨迹,以避开威胁并转向避难所。这些决策规则准确地描述了系统发育距离较远的鱼类逃避行为,说明了逃避决策的保守性质。我们的研究结果揭示了生存所需的灵活的行为反应如何从相对简单,保守的决策机制中出现。

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