Goedert E R, Rodwan A S, Salmon P G
Percept Mot Skills. 1977 Apr;44(2):551-62. doi: 10.2466/pms.1977.44.2.551.
There is evidence for discrete property analyzers in mammalian visual systems. Research has indicated that prolonged stimulation of such units reduces their sensitivity to subsequent stimulation. Psychophysical studies have employed this effect, terned selective adaptation, to study feature extractors in the human visual system. The purpose of this study was to determine the role of density and deviation in the adaptation figure on the recognition thresholds of simple and complex text figures. A selective adaptation paradigm was employed. A strict property analyzer model suggests that increases in density, deviation, or complexity should lead to an increased recognition time for the test figures. This was not confirmed. The complexity of the test figure had no effect on its recognition time. Both increased density and deviation did have an effect on the recognition times of the test figures. The results thus suggest that contour adaptation involves at least two processes: a general, probably peripheral effect due to the fatigue of visual receptor units and a more specific effect generated by the similarity between test figure and adaptation contours, independent of the site of stimulation.
有证据表明哺乳动物视觉系统中存在离散属性分析器。研究表明，长时间刺激此类单元会降低它们对后续刺激的敏感性。心理物理学研究利用这种效应（称为选择性适应）来研究人类视觉系统中的特征提取器。本研究的目的是确定适应图形中的密度和偏差对简单和复杂文本图形识别阈值的作用。采用了选择性适应范式。一个严格的属性分析器模型表明，密度、偏差或复杂性的增加应导致测试图形的识别时间增加。但这一点并未得到证实。测试图形的复杂性对其识别时间没有影响。密度和偏差的增加确实对测试图形的识别时间有影响。因此，结果表明轮廓适应至少涉及两个过程：一个是由于视觉感受器单元疲劳产生的一般的、可能是外周的效应，另一个是由测试图形与适应轮廓之间的相似性产生的更具体的效应，与刺激部位无关。
