生物学启发的促进机制增强了对不同对比度目标的检测和追求

Zahra M. Bagheri, S. Wiederman, B. Cazzolato, S. Grainger, D. O’Carroll
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引用次数: 4

摘要

许多种类的飞行昆虫在视觉上混乱的环境中发现并追逐猎物或同种昆虫,例如为了捕食,领土或交配行为。我们为小型移动目标建立了这种探测和追踪模型,并在闭环虚拟现实飞行舞台上进行了测试。我们的模型直接受到昆虫大脑中“小目标运动检测器”(STMD)神经元的电生理记录的启发,这些记录可能是这种行为任务的基础。前端使用一种受生物学启发的“初级”小目标运动检测器(ESTMD)的变体,用于检测自然场景中两种对比极性的目标(即暗目标和亮目标)。我们还为最近发现的生理“促进”机制建立了一个额外的模型,该机制被认为是昆虫stmd选择性注意的基础,并量化了这一机制在一系列目标对比中为追求成功和目标可辨明性提供的改进。
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A Biologically Inspired Facilitation Mechanism Enhances the Detection and Pursuit of Targets of Varying Contrast
Many species of flying insects detect and chase prey or conspecifics within a visually cluttered surround, e.g. for predation, territorial or mating behavior. We modeled such detection and pursuit for small moving targets, and tested it within a closed-loop, virtual reality flight arena. Our model is inspired directly by electrophysiological recordings from 'small target motion detector' (STMD) neurons in the insect brain that are likely to underlie this behavioral task. The front-end uses a variant of a biologically inspired 'elementary' small target motion detector (ESTMD), elaborated to detect targets in natural scenes of both contrast polarities (i.e. both dark and light targets). We also include an additional model for the recently identified physiological 'facilitation' mechanism believed to form the basis for selective attention in insect STMDs, and quantify the improvement this provides for pursuit success and target discriminability over a range of target contrasts.
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