Physics of Cognition Group (PHKP), Chemnitz University of Technology, 09126, Chemnitz, Germany.
Center for Mind/Brain Sciences (CIMeC), University of Trento, 38068, Rovereto, Italy.
Sci Rep. 2020 Apr 24;10(1):6943. doi: 10.1038/s41598-020-63888-7.
A basic question in cognitive neuroscience is how sensory stimuli are processed within and outside of conscious awareness. In the past decade, CFS has become the most popular tool for investigating unconscious visual processing, although the exact nature of some of the underlying mechanisms remains unclear. Here, we investigate which kind of random noise is optimal for CFS masking, and whether the addition of visible edges to noise patterns affects suppression duration. We tested noise patterns of various density as well as composite patterns with added edges, and classic Mondrian masks as well as phase scrambled (edgeless) Mondrian masks for comparison. We find that spatial pink noise (1/F noise) achieved the longest suppression of the tested random noises, however classic Mondrian masks are still significantly more effective in terms of suppression duration. Further analysis reveals that global contrast and general spectral similarity between target and mask cannot account for this difference in effectiveness.
认知神经科学中的一个基本问题是,感官刺激在意识内外是如何被处理的。在过去的十年中,CFS 已成为研究无意识视觉处理的最流行工具,尽管一些潜在机制的确切性质仍不清楚。在这里,我们研究哪种随机噪声最适合 CFS 掩蔽,以及向噪声模式添加可见边缘是否会影响抑制持续时间。我们测试了各种密度的噪声模式以及添加边缘的复合模式,以及经典的蒙德里安掩模和相位随机化(无边缘)蒙德里安掩模进行比较。我们发现,空间粉红噪声(1/F 噪声)实现了对测试随机噪声的最长抑制,但经典的蒙德里安掩模在抑制持续时间方面仍然明显更有效。进一步的分析表明,目标和掩模之间的全局对比度和一般光谱相似性不能解释这种效果差异。