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视觉记忆中的对手进程:导航昆虫的蘑菇体中吸引和排斥的模型。

Opponent processes in visual memories: A model of attraction and repulsion in navigating insects' mushroom bodies.

机构信息

Research Centre on Animal Cognition, University Paul Sabatier/CNRS, Toulouse, France.

出版信息

PLoS Comput Biol. 2020 Feb 5;16(2):e1007631. doi: 10.1371/journal.pcbi.1007631. eCollection 2020 Feb.

Abstract

Solitary foraging insects display stunning navigational behaviours in visually complex natural environments. Current literature assumes that these insects are mostly driven by attractive visual memories, which are learnt when the insect's gaze is precisely oriented toward the goal direction, typically along its familiar route or towards its nest. That way, an insect could return home by simply moving in the direction that appears most familiar. Here we show using virtual reconstructions of natural environments that this principle suffers from fundamental drawbacks, notably, a given view of the world does not provide information about whether the agent should turn or not to reach its goal. We propose a simple model where the agent continuously compares its current view with both goal and anti-goal visual memories, which are treated as attractive and repulsive respectively. We show that this strategy effectively results in an opponent process, albeit not at the perceptual level-such as those proposed for colour vision or polarisation detection-but at the level of the environmental space. This opponent process results in a signal that strongly correlates with the angular error of the current body orientation so that a single view of the world now suffices to indicate whether the agent should turn or not. By incorporating this principle into a simple agent navigating in reconstructed natural environments, we show that it overcomes the usual shortcomings and produces a step-increase in navigation effectiveness and robustness. Our findings provide a functional explanation to recent behavioural observations in ants and why and how so-called aversive and appetitive memories must be combined. We propose a likely neural implementation based on insects' mushroom bodies' circuitry that produces behavioural and neural predictions contrasting with previous models.

摘要

独居觅食昆虫在视觉复杂的自然环境中表现出惊人的导航行为。目前的文献假设这些昆虫主要受有吸引力的视觉记忆驱动,这些记忆是在昆虫的目光精确地朝向目标方向时习得的,通常是沿着其熟悉的路线或朝向其巢穴。这样,昆虫就可以通过简单地朝着看起来最熟悉的方向移动来回家。在这里,我们使用自然环境的虚拟重建表明,这个原理存在根本缺陷,即,世界的给定视图不提供关于代理是否应该转弯以到达其目标的信息。我们提出了一个简单的模型,其中代理不断将其当前视图与目标和反目标视觉记忆进行比较,这两者分别被视为有吸引力和排斥力。我们表明,这种策略有效地产生了一个对抗过程,尽管不是在感知水平上,例如那些为颜色视觉或偏振检测提出的水平,而是在环境空间的水平上。这种对抗过程导致一个与当前身体方向的角度误差强烈相关的信号,使得现在只需要一个世界的单一视图就足以指示代理是否应该转弯。通过将这个原理纳入在重建的自然环境中导航的简单代理中,我们表明它克服了常见的缺点,并显著提高了导航的有效性和鲁棒性。我们的研究结果为蚂蚁最近的行为观察提供了功能解释,以及为什么和如何必须结合所谓的厌恶和渴望记忆。我们提出了一个基于昆虫的蘑菇体电路的可能的神经实现,该实现产生了与之前模型相反的行为和神经预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8172/7034919/880db54144e8/pcbi.1007631.g001.jpg

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