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对比度增益控制和精细空间辨别。

Contrast gain control and fine spatial discriminations.

作者信息

Thomas J P, Olzak L A

机构信息

Department of Psychology, University of California at Los Angeles 90005-1563, USA.

出版信息

J Opt Soc Am A Opt Image Sci Vis. 1997 Sep;14(9):2392-405. doi: 10.1364/josaa.14.002392.

Abstract

The effect of contrast gain control mechanisms on discrimination between highly similar simple and complex stimuli is examined, with a focus on how discrimination accuracy changes as a function of the contrast of stimulus components. Two models of contrast gain control are evaluated. In both, the response of each pathway is attenuated by a factor determined by the total activity in a large pool of pathways. One model bases attenuation on the sum of linear filter responses within this pool; the other, based on Heeger's contrast energy-driven model [J. Neurophysiol. 70, 1985 (1993)], uses squared filter response. Predictions generated from the models are compared with data from experiments reported here and from the literature. Predictions are made for simple grafting stimuli of different sizes and for stimuli to which a second grafting component is added either as a second cue or as a mask. With one exception, predictions of the models agree closely with each other and with the data. The exception is a masking study that differentiates the models and supports the filter-driven model over the energy-driven model.

摘要

研究了对比度增益控制机制对高度相似的简单和复杂刺激之间辨别力的影响,重点关注辨别准确率如何随刺激成分的对比度而变化。评估了两种对比度增益控制模型。在这两种模型中,每个通路的响应都被一个由大量通路中的总活动所决定的因子衰减。一种模型基于该池内线性滤波器响应的总和进行衰减;另一种基于黑格的对比度能量驱动模型[《神经生理学杂志》70, 1985 (1993)],使用滤波器响应的平方。将模型生成的预测与本文报道的实验数据以及文献数据进行比较。对不同大小的简单嫁接刺激以及添加了第二个嫁接成分作为第二个线索或掩蔽物的刺激进行了预测。除了一个例外,模型的预测彼此之间以及与数据都非常吻合。这个例外是一项掩蔽研究,该研究区分了模型,并支持滤波器驱动模型而非能量驱动模型。

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