Conway Bevil R
Neuroscience Program, Wellesley College, Wellesley, Massachusetts.
Vis Neurosci. 2014 Mar;31(2):197-209. doi: 10.1017/S0952523813000382. Epub 2013 Oct 8.
Explanations for color phenomena are often sought in the retina, lateral geniculate nucleus, and V1, yet it is becoming increasingly clear that a complete account will take us further along the visual-processing pathway. Working out which areas are involved is not trivial. Responses to S-cone activation are often assumed to indicate that an area or neuron is involved in color perception. However, work tracing S-cone signals into extrastriate cortex has challenged this assumption: S-cone responses have been found in brain regions, such as the middle temporal (MT) motion area, not thought to play a major role in color perception. Here, we review the processing of S-cone signals across cortex and present original data on S-cone responses measured with fMRI in alert macaque, focusing on one area in which S-cone signals seem likely to contribute to color (V4/posterior inferior temporal cortex) and on one area in which S signals are unlikely to play a role in color (MT). We advance a hypothesis that the S-cone signals in color-computing areas are required to achieve a balanced neural representation of perceptual color space, whereas those in noncolor-areas provide a cue to illumination (not luminance) and confer sensitivity to the chromatic contrast generated by natural daylight (shadows, illuminated by ambient sky, surrounded by direct sunlight). This sensitivity would facilitate the extraction of shape-from-shadow signals to benefit global scene analysis and motion perception.
人们常常在视网膜、外侧膝状体核和V1中寻找颜色现象的解释,但越来越清楚的是,完整的解释需要我们沿着视觉处理通路进一步深入研究。确定哪些区域参与其中并非易事。对S-锥体激活的反应通常被认为表明某个区域或神经元参与了颜色感知。然而,将S-锥体信号追踪到纹外皮层的研究对这一假设提出了挑战:在诸如颞中(MT)运动区等大脑区域发现了S-锥体反应,而这些区域被认为在颜色感知中并不起主要作用。在这里,我们回顾了整个皮层中S-锥体信号的处理过程,并展示了在清醒猕猴中使用功能磁共振成像测量的S-锥体反应的原始数据,重点关注一个S-锥体信号似乎可能对颜色有贡献的区域(V4/后颞下皮层)和一个S信号不太可能在颜色中起作用的区域(MT)。我们提出一个假设,即颜色计算区域中的S-锥体信号是实现感知颜色空间平衡神经表征所必需的,而非颜色区域中的S-锥体信号则提供了光照(而非亮度)线索,并赋予对自然日光产生的颜色对比度(阴影、被周围天空照亮、被直射阳光包围)的敏感性。这种敏感性将有助于从阴影信号中提取形状信息,从而有利于全局场景分析和运动感知。