Vision Sciences Laboratory, Department of Psychology, Harvard University, Cambridge, MA 02138, USA.
J Neurosci. 2012 May 30;32(22):7685-700. doi: 10.1523/JNEUROSCI.3325-11.2012.
Our visual system can extract summary statistics from large collections of similar objects without forming detailed representations of the individual objects in the ensemble. Such object ensemble representation is adaptive and allows us to overcome the capacity limitation associated with representing specific objects. Surprisingly, little is known about the neural mechanisms supporting such object ensemble representation. Here we showed human observers identical photographs of the same object ensemble, different photographs depicting the same ensemble, or different photographs depicting different ensembles. We observed fMRI adaptation in anterior-medial ventral visual cortex whenever object ensemble statistics repeated, even when local image features differed across photographs. Interestingly, such object ensemble processing is closely related to texture and scene processing in the brain. In contrast, the lateral occipital area, a region involved in object-shape processing, showed adaptation only when identical photographs were repeated. These results provide the first step toward understanding the neural underpinnings of real-world object ensemble representation.
我们的视觉系统可以从大量相似物体的集合中提取汇总统计信息,而无需对集合中的各个物体形成详细的表示。这种物体集合表示是自适应的,可以帮助我们克服与表示特定物体相关的容量限制。令人惊讶的是,对于支持这种物体集合表示的神经机制,我们知之甚少。在这里,我们向人类观察者展示了相同物体集合的相同照片、不同照片描绘的相同集合或不同照片描绘的不同集合。我们观察到,即使在照片之间局部图像特征不同的情况下,只要物体集合统计数据重复,在前内侧腹侧视觉皮层中就会出现 fMRI 适应。有趣的是,这种物体集合处理与大脑中的纹理和场景处理密切相关。相比之下,外侧枕叶区域是参与物体形状处理的区域,只有在重复相同照片时才会出现适应。这些结果为理解现实世界物体集合表示的神经基础迈出了第一步。