Levi Dennis M, Klein Stanley A
University of California at Berkeley, School of Optometry and Helen Wills Neuroscience Institute, Berkeley, California 94720-2020, USA.
J Neurosci. 2003 Apr 1;23(7):2522-6. doi: 10.1523/JNEUROSCI.23-07-02522.2003.
Amblyopia results in a loss of contrast sensitivity and position acuity. Here we report the results of experiments using noise to try to better understand the nature of the neural losses in amblyopia. In the first experiment, we used noise to derive the template or classification image used to detect a target and to discriminate its position. We found that some amblyopic observers show markedly abnormal templates for the position task and moderately abnormal classification images for the detection task; however, the abnormal template could not fully account for the loss of performance (efficiency). Reduced efficiency in the amblyopic visual system may reflect a poorly matched template, a high fraction of internal to external noise, or both. Comparison of the observers' performance with that of their template suggests that the amblyopes have a high fraction of internal (relative to external) noise. To analyze the internal noise further, we used a "double-pass" technique, in which observers performed the identical experiment twice. The amount of disagreement between the two experiments provides another estimate of the fraction of internal noise. Amblyopes show a much higher fraction of stimulus-dependent internal noise than do normal observers. We conclude that the loss of efficiency in amblyopia is attributable in part to a poorly matched template, but to a greater degree, to a high fraction of internal (relative to external) noise.
弱视会导致对比敏感度和位置敏锐度下降。在此,我们报告了使用噪声进行实验的结果,以试图更好地理解弱视中神经功能丧失的本质。在第一个实验中,我们使用噪声来推导用于检测目标并辨别其位置的模板或分类图像。我们发现,一些弱视观察者在位置任务中表现出明显异常的模板,在检测任务中表现出中度异常的分类图像;然而,异常模板并不能完全解释性能(效率)的损失。弱视视觉系统中效率的降低可能反映了模板匹配不佳、内部噪声相对于外部噪声的比例较高,或两者兼而有之。将观察者的表现与其模板的表现进行比较表明,弱视者的内部(相对于外部)噪声比例较高。为了进一步分析内部噪声,我们使用了一种“双程”技术,即观察者对相同的实验进行两次操作。两次实验之间的不一致程度提供了内部噪声比例的另一种估计。与正常观察者相比,弱视者表现出更高比例的依赖于刺激的内部噪声。我们得出结论,弱视中效率的损失部分归因于模板匹配不佳,但在更大程度上归因于内部(相对于外部)噪声的高比例。