Clarke Richard, Lotto R Beau
Institute of Ophthalmology, University College London, 11-43 Bath Street, London EC1V 9EL, United Kingdom.
Vision Res. 2009 May;49(11):1455-64. doi: 10.1016/j.visres.2009.02.021. Epub 2009 Mar 13.
Determining the statistical relationships of images that facilitate robust visual behaviour is nontrivial. Here we ask if some spatial relationships are more easily learned by the visual brain than others. Visually naïve bumblebees were trained to recognise coloured artificial flowers in scenes of equal spatial complexity but differing patterns of stimulus intensity. When flowers of similar intensity were grouped into extended regions across the array (coincident with natural patterns of light), the accuracy of the bees' foraging behaviour was dependent on spatial context, even though this information was redundant to the task. When the same intensity information was organised into a pattern that was less consistent with natural patterns of illumination but of equal order, their behaviour was independent of spatial context and they required double the training time to solve the same conditional task. These observations suggest the brain is biased to more efficiently encode/learn ecologically 'meaningful' image correlations.
确定有助于稳健视觉行为的图像的统计关系并非易事。在这里，我们探讨是否某些空间关系比其他关系更容易被视觉大脑学习。将视觉上未受过训练的大黄蜂训练，使其在空间复杂度相同但刺激强度模式不同的场景中识别彩色人造花。当相似强度的花朵在阵列中被分组到扩展区域时（与自然光照模式一致），蜜蜂觅食行为的准确性取决于空间背景，尽管此信息对于任务来说是冗余的。当相同的强度信息被组织成一种与自然光照模式不太一致但秩序相同的模式时，它们的行为与空间背景无关，并且它们需要两倍的训练时间来解决相同的条件任务。这些观察结果表明，大脑倾向于更有效地编码/学习生态上“有意义”的图像相关性。
