通过同等噪声分析揭示的绝对和相对差异机制
Jian Ding1, Hilary H Lu2, Dennis M Levi2
1Herbert Wertheim School of Optometry and Vision Science and the Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720-2020, USA. jian.ding@berkeley.edu.
Scientific reports
|March 22, 2024
概括
内部双眼差异噪声限制了立体图的精度. 一个新的模型解释了绝对和相对差异值,找到取消全球噪声的机制改善了相对差异检测.
科学领域:
- 视觉科学 视觉科学 视觉科学
- 计算神经科学是一种计算神经科学.
- 心理物理学的精神物理.
背景情况:
- 立体和点精度受到内部双眼差异噪声的限制.
- 现有的模型无法完全解释绝对和相对差异值.
研究的目的:
- 提出一个统一的内部差异噪声模型,包括全球和本地组件.
- 调查绝对和相对差异值背后的机制.
- 在心理物理上测量相当的内部差异噪声.
主要方法:
- 开发了一种使用随机-Gabor-patch立体图的心理物理程序,并添加了外部差异噪声.
- 使用恒定刺激的方法来测量最小 (Dmin) 和最大 (Dmax) 的差异值.
- 测试了三个不同的机制来检测相对差异.
主要成果:
- 与相对差异相比,对于绝对差异的Dmin值明显更差.
- 机制3 (绝对差异的差异) 有效地取消了全球噪声,产生较低的相对Dmin值.
- Dmax 值不受大量外部差异噪声的影响 (高达 2400 弧秒).
结论:
- 一个具有全球和本地组件的统一噪音模型为差异值提供了全面的解释.
- 相对差异检测受益于减轻全球噪声的机制,例如区分绝对差异.
- 显而易见的机制可能控制Dmin和Dmax值,Dmax依赖于平均差异信息.
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