Department of Visual Neuroscience, University College London Institute of Ophthalmology, London EC1V 9EL, UK.
Proc Natl Acad Sci U S A. 2010 Sep 28;107(39):17041-6. doi: 10.1073/pnas.1001699107. Epub 2010 Sep 13.
Human adults can go beyond the limits of individual sensory systems' resolutions by integrating multiple estimates (e.g., vision and touch) to reduce uncertainty. Little is known about how this ability develops. Although some multisensory abilities are present from early infancy, it is not until age ≥8 y that children use multiple modalities to reduce sensory uncertainty. Here we show that uncertainty reduction by sensory integration does not emerge until 12 y even within the single modality of vision, in judgments of surface slant based on stereoscopic and texture information. However, adults' integration of sensory information comes at a cost of losing access to the individual estimates that feed into the integrated percept ("sensory fusion"). By contrast, 6-y-olds do not experience fusion, but are able to keep stereo and texture information separate. This ability enables them to outperform adults when discriminating stimuli in which these information sources conflict. Further, unlike adults, 6-y-olds show speed gains consistent with following the fastest-available single cue. Therefore, whereas the mature visual system is optimized for reducing sensory uncertainty, the developing visual system may be optimized for speed and for detecting sensory conflicts. Such conflicts could provide the error signals needed to learn the relationships between sensory information sources and to recalibrate them while the body is growing.
成年人可以通过整合多个估计值(例如视觉和触觉)来降低不确定性,从而超越单个感觉系统分辨率的限制。关于这种能力如何发展,人们知之甚少。尽管一些多感觉能力从婴儿早期就存在,但直到 8 岁及以上,儿童才会使用多种模式来减少感觉不确定性。在这里,我们表明,即使在单一视觉模式下,基于立体和纹理信息的表面倾斜判断,直到 12 岁,通过感觉整合来减少不确定性才会出现。然而,成年人整合感觉信息的代价是失去对输入到综合感知中的各个估计值的访问权(“感觉融合”)。相比之下,6 岁儿童不会经历融合,但能够将立体和纹理信息分开。这种能力使他们在辨别这些信息源冲突的刺激时表现优于成年人。此外,与成年人不同,6 岁儿童的速度增益与遵循最快可用的单一线索一致。因此,成熟的视觉系统旨在优化减少感觉不确定性,而发育中的视觉系统可能更注重速度和检测感觉冲突。这种冲突可以提供所需的错误信号,以便在身体生长过程中学习感觉信息源之间的关系并对其进行重新校准。