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Perceptual learning in a non-human primate model of artificial vision

机译:非人类灵长类动物人工视觉模型中的知觉学习

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摘要

Visual perceptual grouping, the process of forming global percepts from discrete elements, is experience-dependent. Here we show that the learning time course in an animal model of artificial vision is predicted primarily from the density of visual elements. Three naïve adult non-human primates were tasked with recognizing the letters of the Roman alphabet presented at variable size and visualized through patterns of discrete visual elements, specifically, simulated phosphenes mimicking a thalamic visual prosthesis. The animals viewed a spatially static letter using a gaze-contingent pattern and then chose, by gaze fixation, between a matching letter and a non-matching distractor. Months of learning were required for the animals to recognize letters using simulated phosphene vision. Learning rates increased in proportion to the mean density of the phosphenes in each pattern. Furthermore, skill acquisition transferred from trained to untrained patterns, not depending on the precise retinal layout of the simulated phosphenes. Taken together, the findings suggest that learning of perceptual grouping in a gaze-contingent visual prosthesis can be described simply by the density of visual activation.
机译:视觉感知分组是由离散元素形成全局感知的过程,它依赖于经验。在这里,我们表明,人工视觉动物模型中的学习时间过程主要是根据视觉元素的密度预测的。三个幼稚的成年非人类灵长类动物的任务是识别以可变大小呈现的罗马字母,并通过离散的视觉元素(特别是模拟丘脑视觉假体的模拟)进行可视化。这些动物使用凝视视线模式观察空间上的静态字母,然后通过视线固定在匹配的字母和不匹配的干扰物之间进行选择。动物需要几个月的学习时间,才能使用模拟的磷光视觉识别字母。在每个模式中,学习率与磷的平均密度成比例地增加。此外,技能的获得已从训练到未训练的模式转移,而不依赖于模拟the的精确视网膜布局。综上所述,这些发现表明,可以通过视觉激活的密度简单地描述在视线有限的视觉假体中感知分组的学习。

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