Creating Concepts from Converging Features in Human Cortex
Creating Concepts from Converging Features in Human Cortex
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DOI：
10.1093/cercor/bhu057
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发表时间：
2015-09-01
期刊：
影响因子：
3.7
通讯作者：
Thompson-Schill, Sharon L.
中科院分区：
文献类型：
--
作者：
Coutanche, Marc N.;Thompson-Schill, Sharon L.
为了理解我们周围的世界，我们的大脑必须记住数百万个物体的重叠特征。至关重要的是，它还必须代表每个对象的独特特征--趋同。一些理论认为，一个集成区(或“汇聚区”)将不同的特征捆绑在一起。我们报告了一项关于我们对对象的特征和身份以及它们之间的联系的知识的调查。我们使用功能性磁共振成像来记录神经活动，当人类试图在视觉噪音中检测到暗示的水果或蔬菜时。至关重要的是，我们在水果或蔬菜出现之前就分析了大脑活动，这让我们能够询问自上而下的活动。我们发现，模式分类算法可以用来解码检测目标在左前颞叶(ATL)的身份、其在外侧枕叶皮质的形状以及其在右V4的颜色。一种新的解码依赖分析表明，左侧ATL中的身份信息是通过早期视觉区域形状和颜色代码的时间会聚来特异性预测的。特征和身份依赖性更强的人有更相似的自上而下和自下而上的活动模式。这些结果满足了神经收敛区的三个关键要求：收敛结果(对象身份)、成分(颜色和形状)以及它们之间的联系。
To make sense of the world around us, our brain must remember the overlapping features of millions of objects. Crucially, it must also represent each object's unique feature-convergence. Some theories propose that an integration area (or "convergence zone") binds together separate features. We report an investigation of our knowledge of objects' features and identity, and the link between them. We used functional magnetic resonance imaging to record neural activity, as humans attempted to detect a cued fruit or vegetable in visual noise. Crucially, we analyzed brain activity before a fruit or vegetable was present, allowing us to interrogate top-down activity. We found that pattern-classification algorithms could be used to decode the detection target's identity in the left anterior temporal lobe (ATL), its shape in lateral occipital cortex, and its color in right V4. A novel decoding-dependency analysis revealed that identity information in left ATL was specifically predicted by the temporal convergence of shape and color codes in early visual regions. People with stronger feature-and-identity dependencies had more similar top-down and bottom-up activity patterns. These results fulfill three key requirements for a neural convergence zone: a convergence result (object identity), ingredients (color and shape), and the link between them.