Swanson W H, Wilson H R
Vision Res. 1985;25(9):1285-95. doi: 10.1016/0042-6989(85)90044-6.
Recently a model of spatial vision was derived by fitting foveal masking data. This model is composed of a small number of medium bandwidth mechanisms, each composed of a spatial filter followed by a compressive nonlinearity. The present study incorporates eccentricity variation into this model by scaling the peak frequency (but not the shape) of the spatial filters with eccentricity. Predictions of this scaled model were compared with both oblique masking data and contrast matching data gathered at peripheral locations and were found to produce good fits. Therefore, the mode of analysis that was used for foveal masking data is also applicable peripherally once the scaling factor is applied.
最近，通过拟合中央凹掩蔽数据得出了一种空间视觉模型。该模型由少量中等带宽机制组成，每个机制都由一个空间滤波器和一个压缩非线性组成。本研究通过根据离心率缩放空间滤波器的峰值频率（而非形状），将离心率变化纳入该模型。将此缩放模型的预测结果与在外围位置收集的倾斜掩蔽数据和对比度匹配数据进行了比较，发现拟合效果良好。因此，一旦应用了缩放因子，用于中央凹掩蔽数据的分析模式在外围也同样适用。
