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Bursts and Heavy Tails in Temporal and Sequential Dynamics of Foraging Decisions

机译:觅食决策的时间和顺序动力学中的爆发和沉重尾巴

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A fundamental understanding of behavior requires predicting when and what an individual will choose. However, the actual temporal and sequential dynamics of successive choices made among multiple alternatives remain unclear. In the current study, we tested the hypothesis that there is a general bursting property in both the timing and sequential patterns of foraging decisions. We conducted a foraging experiment in which rats chose among four different foods over a continuous two-week time period. Regarding when choices were made, we found bursts of rapidly occurring actions, separated by time-varying inactive periods, partially based on a circadian rhythm. Regarding what was chosen, we found sequential dynamics in affective choices characterized by two key features: (a) a highly biased choice distribution; and (b) preferential attachment, in which the animals were more likely to choose what they had previously chosen. To capture the temporal dynamics, we propose a dual-state model consisting of active and inactive states. We also introduce a satiation-attainment process for bursty activity, and a non-homogeneous Poisson process for longer inactivity between bursts. For the sequential dynamics, we propose a dual-control model consisting of goal-directed and habit systems, based on outcome valuation and choice history, respectively. This study provides insights into how the bursty nature of behavior emerges from the interaction of different underlying systems, leading to heavy tails in the distribution of behavior over time and choices.
机译:对行为的基本了解需要预测个人何时选择什么。但是,尚不清楚在多个替代方案中进行的连续选择的实际时间和顺序动态。在当前的研究中,我们检验了以下假设:在觅食决策的时间和顺序模式中都具有一般的爆发特性。我们进行了一项觅食实验,其中老鼠在连续的两周时间内选择了四种不同的食物。关于做出选择的时间,我们发现了一些迅速发生的动作,被不时变化的非活动时间间隔开,部分是基于昼夜节律。关于选择什么,我们发现情感选择的顺序动力学具有两个关键特征:(a)高度偏向的选择分布; (b)优先依恋,其中动物更有可能选择他们先前选择的东西。为了捕获时间动态,我们提出了一个由活动状态和非活动状态组成的双状态模型。我们还介绍了突发活动的饱合度过程,以及突发之间较长时间的不活跃状态的非均匀泊松过程。对于顺序动力学,我们分别基于结果评估和选择历史,提出了一种由目标导向和习惯系统组成的双重控制模型。这项研究提供了关于行为的突发性质如何从不同底层系统的交互作用中出现的见解,从而导致行为在时间和选择上的分布严重拖尾。

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