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作为一个闭环激发系统来调控收获蚁的觅食行为。

Regulation of harvester ant foraging as a closed-loop excitable system.

机构信息

Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey, United States of America.

Department of Biology, Stanford University, Stanford, California, United States of America.

出版信息

PLoS Comput Biol. 2018 Dec 4;14(12):e1006200. doi: 10.1371/journal.pcbi.1006200. eCollection 2018 Dec.

Abstract

Ant colonies regulate activity in response to changing conditions without using centralized control. Desert harvester ant colonies forage for seeds, and regulate foraging to manage a tradeoff between spending and obtaining water. Foragers lose water while outside in the dry air, but ants obtain water by metabolizing the fats in the seeds they eat. Previous work shows that the rate at which an outgoing forager leaves the nest depends on its recent rate of brief antennal contacts with incoming foragers carrying food. We examine how this process can yield foraging rates that are robust to uncertainty and responsive to temperature and humidity across minute-to-hour timescales. To explore possible mechanisms, we develop a low-dimensional analytical model with a small number of parameters that captures observed foraging behavior. The model uses excitability dynamics to represent response to interactions inside the nest and a random delay distribution to represent foraging time outside the nest. We show how feedback from outgoing foragers returning to the nest stabilizes the incoming and outgoing foraging rates to a common value determined by the volatility of available foragers. The model exhibits a critical volatility above which there is sustained foraging at a constant rate and below which foraging stops. To explain how foraging rates adjust to temperature and humidity, we propose that foragers modify their volatility after they leave the nest and become exposed to the environment. Our study highlights the importance of feedback in the regulation of foraging activity and shows how modulation of volatility can explain how foraging activity responds to conditions and varies across colonies. Our model elucidates the role of feedback across many timescales in collective behavior, and may be generalized to other systems driven by excitable dynamics, such as neuronal networks.

摘要

蚁群可以在不使用集中控制的情况下,根据环境变化调节活动。沙漠收获蚁会寻找种子,并通过调节觅食活动来平衡花费和获取水分之间的权衡。外出觅食者在干燥的空气中会失去水分,但它们通过代谢所吃种子中的脂肪来获取水分。先前的研究表明,外出觅食者离开巢穴的速度取决于它最近与携带食物的进巢觅食者进行短暂触角接触的频率。我们研究了这一过程如何在分钟到小时的时间尺度内产生对不确定性具有鲁棒性且对温度和湿度有响应的觅食率。为了探索可能的机制,我们开发了一个具有少量参数的低维分析模型,该模型可以捕捉到观察到的觅食行为。该模型使用兴奋性动力学来表示对巢内相互作用的反应,使用随机延迟分布来表示巢外的觅食时间。我们展示了如何通过返回巢穴的外出觅食者的反馈来稳定进巢和出巢觅食率,使其达到由可用觅食者的波动性决定的共同值。该模型表现出一个关键的波动性,高于该值时会以恒定速率持续觅食,低于该值时觅食会停止。为了解释觅食率如何适应温度和湿度,我们提出觅食者在离开巢穴并暴露于环境后会改变其波动性。我们的研究强调了反馈在调节觅食活动中的重要性,并展示了波动性的调节如何解释觅食活动如何对条件做出反应以及在不同蚁群之间的变化。我们的模型阐明了反馈在集体行为中的多个时间尺度上的作用,并可能推广到其他由兴奋动力学驱动的系统,如神经元网络。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8d9/6294393/fb45ea541542/pcbi.1006200.g001.jpg

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