NEURAL DYNAMICS OF 1-D AND 2-D BRIGHTNESS PERCEPTION - A UNIFIED MODEL OF CLASSICAL AND RECENT PHENOMENA
NEURAL DYNAMICS OF 1-D AND 2-D BRIGHTNESS PERCEPTION - A UNIFIED MODEL OF CLASSICAL AND RECENT PHENOMENA
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DOI：
10.3758/bf03207869
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发表时间：
1988-03-01
期刊：
影响因子：
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通讯作者：
TODOROVIC, D
中科院分区：
文献类型：
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作者：
GROSSBERG, S;TODOROVIC, D
计算机模拟的神经网络模型的1-D和2-D的亮度现象。模拟表明，几何图像属性如何触发空间组织的对比，边界分割和填充过程之间的相互作用，以产生紧急感知。他们提供了第一个统一的机械解释这一组现象，其中一些没有收到以前的机械解释。边界轮廓（BC）系统和特征轮廓（FC）系统之间的网络交互构成了该模型。BC系统由对比度敏感和方向调整的相互作用的层次结构组成，导致边界分割。对开和关膝状体细胞以及简单和复杂皮质细胞进行建模。BC系统分割的输出信号在FC系统内生成房室边界。FC系统的对比度敏感输入在FC系统隔室内产生激活的横向填充。填充过程由非线性扩散机制定义。模拟的现象包括网络对刺激分布的响应，这些刺激分布涉及亮度阶跃、梯度、尖点和各种大小的角的组合。这些图像包括不可能的楼梯，靶心，亮度配置文件的嵌套组合，以及在非均匀照明条件下观看的图像。模拟的现象包括亮度恒定性、亮度对比度、亮度同化、Craik-O“Brien-Cornsweet效应、Koffka-Benussi环、Kanizsa-Minguzzi异常亮度分化、赫尔曼网格以及在恒定和梯度照明下观察到的无法用retinex理论解释的Land Mondrian。
Computer simulations of a neural network model of 1-D and 2-D brightness phenomena are presented. The simulations indicate how configural image properties trigger interactions among spatially organized contrastive, boundary segmentation, and filling-in processes to generate emergent percepts. They provide the first unified mechanistic explanation of this set of phenomena, a number of which have received no previous mechanistic explanation. Network interactions between a Boundary Contour (BC) System and a Feature Contour (FC) System comprise the model. The BC System consists of a hierarchy of contrast-sensitive and orientationally tuned interactions, leading to a boundary segmentation. On and off geniculate cells and simple and complex cortex cells are modeled. Output signals from the BC System segmentation generate compartmental boundaries within the FC System. Contrast-sensitive inputs to the FC System generate a lateral filling-in of activation within FC System compartments. The filling-in process is defined by a nonlinear diffusion mechanism. Simulated phenomena include network responses to stimulus distributions that involve combinations of luminance steps, gradients, cusps, and corners of various sizes. These images include impossible staircases, bull''s-eyes, nested combinations of luminance profiles, and images viewed under nonuniform illumination conditions. Simulated phenomena include variants of brightness constancy, brightness contrast, brightness assimilation, the Craik-O''Brien-Cornsweet effect, the Koffka-Benussi ring, the Kanizsa-Minguzzi anomalous brightness differentiation, the Herman grid, and a Land Mondrian viewed under constant and gradient illumination that cannot be explained by retinex theory.