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Joint Entropy for Space and Spatial Frequency Domains Estimated from Psychometric Functions of Achromatic Discrimination

机译:从消色差的心理测量函数估计的空间和空间频域的联合熵

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摘要

We used psychometric functions to estimate the joint entropy for space discrimination and spatial frequency discrimination. Space discrimination was taken as discrimination of spatial extent. Seven subjects were tested. Gábor functions comprising unidimensionalsinusoidal gratings (0.4, 2, and 10 cpd) and bidimensionalGaussian envelopes (1°) were used as reference stimuli. The experiment comprised the comparison between reference and test stimulithat differed in grating's spatial frequency or envelope's standard deviation. We tested 21 different envelope's standard deviations around the reference standard deviation to study spatial extent discrimination and 19 different grating's spatial frequencies around the reference spatial frequency to study spatial frequency discrimination. Two series of psychometric functions were obtained for 2%, 5%, 10%, and 100% stimulus contrast. The psychometric function data points for spatial extent discrimination or spatial frequency discrimination were fitted with Gaussian functions using the least square method, and the spatial extent and spatial frequency entropies were estimated from the standard deviation of these Gaussian functions. Then, joint entropy was obtained by multiplying the square root of space extent entropy times the spatial frequency entropy. We compared our results to the theoretical minimum for unidimensional Gábor functions, 1/4π or 0.0796. At low and intermediate spatial frequencies and high contrasts, joint entropy reached levels below the theoretical minimum, suggesting non-linear interactions between two or more visual mechanisms. We concluded that non-linear interactions of visual pathways, such as the M and P pathways, could explain joint entropy values below the theoretical minimum at low and intermediate spatial frequencies and high contrasts. These non-linear interactions might be at work at intermediate and high contrasts at all spatial frequencies once there was a substantial decrease in joint entropy for these stimulus conditions when contrast was raised.
机译:我们使用心理测量函数来估计用于空间区分和空间频率区分的联合熵。空间歧视被视为空间范围的歧视。测试了七个对象。包含一维正弦光栅(0.4、2和10 cpd)和二维高斯包络线(1°)的Gábor函数用作参考刺激。实验包括参考和测试激励之间的比较,这些参考激励在光栅的空间频率或包络线的标准偏差方面有所不同。我们测试了参考标准偏差周围的21个不同包络线的标准偏差,以研究空间范围识别;测试了参考空间频率周围的19种不同光栅的空间频率,以研究空间频率识别。对于2%,5%,10%和100%的刺激对比,获得了两个系列的心理测量功能。使用最小二乘法将用于空间范围判别或空间频率辨别的心理功能数据点与高斯函数拟合,并根据这些高斯函数的标准偏差来估计空间范围和空间频率熵。然后,通过将空间范围熵的平方根乘以空间频率熵来获得联合熵。我们将结果与一维Gábor函数的理论最小值1 /4π或0.0796进行了比较。在中低空间频率和高对比度下,联合熵达到低于理论最小值的水平,这表明两个或多个视觉机制之间存在非线性相互作用。我们得出结论,视觉通路(例如M和P通路)的非线性相互作用可以解释在中低空间频率和高对比度下低于理论最小值的联合熵值。这些非线性相互作用可能在所有空间频率的中等和高对比度下起作用,一旦提高对比度,这些刺激条件的联合熵就会大大降低。

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