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The Cognitive Informatics Theory and Mathematical Models of Visual Information Processing in the Brain

机译:大脑视觉信息处理的认知信息学理论和数学模型

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摘要

It is recognized that the internal mechanisms for visual information processing are based on semantic inferences where visual information is represented and processed as visual semantic objects rather than direct images or episode pictures in the long-term memory. This article presents a cognitive informatics theory of visual information and knowledge processing in the brain. A set of cognitive principles of visual perception is reviewed particularly the classic gestalt principles, the cognitive informatics principles, and the hypercohtmn theory. A visual frame theory is developed to explain the visual information processing mechanisms of human vision, where the size of a unit visual frame is tested and calibrated based on vision experiments. The framework of human visual information processing is established in order to elaborate meclianisms of visual information processing and the compatibility of internal representations between visual and abstract information and knowledge in the brain.
机译:已经认识到,用于视觉信息处理的内部机制是基于语义推断的,其中视觉信息被表示和处理为视觉语义对象,而不是长期存储器中的直接图像或情节图片。本文介绍了视觉信息和大脑中知识处理的认知信息学理论。审查了一组视觉感知的认知原理,特别是经典的格式塔原理,认知信息学原理和超认知理论。发展了视觉框架理论来解释人类视觉的视觉信息处理机制,其中基于视觉实验测试和校准单位视觉框架的大小。建立人类视觉信息处理的框架是为了阐明视觉信息处理的原理,以及大脑的视觉和抽象信息与知识之间的内部表示的兼容性。

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