Courtney S M, Finkel L H, Buchsbaum G
Section on Functional Brain Imaging, Nat. Inst. of Health, Bethesda, MD.
IEEE Trans Neural Netw. 1995;6(4):972-85. doi: 10.1109/72.392259.
A biologically-based multistage neural network is presented which produces color constant responses to a variety of color stimuli. The network takes advantage of several mechanisms in the human visual system, including retinal adaptation, spectral opponency, and spectrally-specific long-range inhibition. This last stage is a novel mechanism based on cells which have been described in cortical area V4. All stages include nonlinear response functions. The model emulates human performance in several psychophysical paradigms designed to test color constancy and color induction. We measured the amount of constancy achieved with both natural and artificial simulated illuminants, using homogeneous grey backgrounds and more complex backgrounds, such as Mondrians. On average, the model performs as well or better than the average human color constancy performance under similar conditions. The network simulation also displays color induction and assimilation behavior consistent with human perceptual data.
提出了一种基于生物学的多级神经网络，它能对各种颜色刺激产生颜色恒常响应。该网络利用了人类视觉系统中的多种机制，包括视网膜适应、光谱对立和光谱特异性远距离抑制。最后一个阶段是基于在V4皮质区域中描述的细胞的一种新机制。所有阶段都包括非线性响应函数。该模型在旨在测试颜色恒常性和颜色诱导的几个心理物理学范式中模拟了人类的表现。我们使用均匀的灰色背景和更复杂的背景（如蒙德里安图形），测量了自然和人工模拟光源下实现的恒常性程度。平均而言，在类似条件下，该模型的表现与人类平均颜色恒常性表现相当或更好。网络模拟还显示出与人类感知数据一致的颜色诱导和同化行为。
