A neural system for learning about object function.
A neural system for learning about object function.
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DOI：
10.1093/cercor/bhj176
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发表时间：
2006-03
期刊：
影响因子：
3.7
通讯作者：
J. Weisberg;M. van Turennout;Alex Martin
中科院分区：
文献类型：
--
作者：
J. Weisberg;M. van Turennout;Alex Martin
我们在视觉上识别日常物品的能力是否仅仅依赖于对它们外观信息的获取，还是依赖于结合其他物品属性的更分布式的表示？使用功能性磁共振成像，我们通过让受试者在广泛的训练之前和之后视觉上匹配新物体的图片来解决这个问题，以使用这些物体来执行特定的工具类任务。训练后，神经活动出现在与常见工具的运动（左颞中回）和操作（左顶内沟和前运动皮层）相关的区域，而活动在代表其视觉外观的区域（梭状回）变得更加集中和选择性。这些发现表明，这种分布式网络是自动从事支持对象识别。此外，该网络中包含的区域反映了当受试者检索有关工具及其属性的信息时活跃的区域，这表明，作为训练的结果，这些先前新颖的对象已经获得了“工具”的概念地位。"
Does our ability to visually identify everyday objects rely solely on access to information about their appearance or on a more distributed representation incorporating other object properties? Using functional magnetic resonance imaging, we addressed this question by having subjects visually match pictures of novel objects before and after extensive training to use these objects to perform specific tool-like tasks. After training, neural activity emerged in regions associated with the motion (left middle temporal gyrus) and manipulation (left intraparietal sulcus and premotor cortex) of common tools, whereas activity became more focal and selective in regions representing their visual appearance (fusiform gyrus). These findings indicate that this distributed network is automatically engaged in support of object identification. Moreover, the regions included in this network mirror those active when subjects retrieve information about tools and their properties, suggesting that, as a result of training, these previously novel objects have attained the conceptual status of "tools."