我们的神经系统是如何在大脑中表示物体的(逐元素识别)

Tianzhen Wang
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引用次数: 1

摘要

摘要人类形象的理论理解,Recognition-by-Element (RBE),提出了表明对象的表示可能是一组由许多成员组成,称为元素,它们中的大多数都是2 d预测(图像)的3 d对象视网膜从特定的角度来看,在特定的照明,特定的背景,等等,这些2 d图像编码,存储和检索在全球范围内,其余的都是诱发其他传感器的输入对象,如声音、味觉、嗅觉、触觉等。该模型可以解释内隐记忆、感知恒常性、手和脸检测器以及物体识别障碍的情况。并编制了计算机程序对RBE进行了仿真,得到了满意的结果。
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How does our neural system represent an object in brain (Recognition-by-Element)
In the paper a theory of human image understanding, Recognition-by-Element (RBE), is presented that suggests that the representation of an object may be a set that consists of many members, called elements, most of them are 2D projections (images) of the 3D object to the retina from a specific viewpoint, in specific illumination, specific background, and so on, these 2D images encoding, storing, and retrieving globally, the rest are other sensor inputs evoked by the object, such as voices, tastes, smells, tactilities, etc. The model can explain the implicit memory, perceptual constancies, hand and face detectors, and the cases of object recognition impairment. A computer program has been developed to simulate the RBE, the result is satisfactory.
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