Formation of Category Representations in Superior Temporal Sulcus
Formation of Category Representations in Superior Temporal Sulcus
复制标题
颞上沟类别表征的形成
DOI：
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发表时间：
2010
影响因子：
3.2
通讯作者：
P. Indefrey
中科院分区：
文献类型：
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作者：
M. V. D. Linden;M. V. Turennout;P. Indefrey
人类大脑包含专门用于表示对象类别的皮层区域。已知视觉体验会改变大脑中这些类别选择区域的反应。然而，很少有人知道如何类别训练，特别是影响皮层类别的选择性。在这里，我们研究了经验依赖的形成对象类别使用功能磁共振成像适应范式。在扫描仪之外，受试者被训练将人造鸟类分类为任意类别（丛林鸟和沙漠鸟）。训练后，枕颞皮层的神经元群体，如梭状回和枕外侧回，对知觉刺激差异高度敏感。这种敏感性是不存在的新的鸟类，表明经验相关的变化，神经元的代表。STS神经元表现出类别选择性。只有当两只鸟在一对跨越类别边界时，才观察到STS中的适应释放。这种分离不能用知觉的相似性来解释，因为类别边界同一侧的鸟类和类别边界相对两侧的鸟类之间的物理差异是相等的。总之，枕颞皮层和STS具有适合于一个系统的属性，该系统可以概括刺激并区分它们。
The human brain contains cortical areas specialized in representing object categories. Visual experience is known to change the responses in these category-selective areas of the brain. However, little is known about how category training specifically affects cortical category selectivity. Here, we investigated the experience-dependent formation of object categories using an fMRI adaptation paradigm. Outside the scanner, subjects were trained to categorize artificial bird types into arbitrary categories (jungle birds and desert birds). After training, neuronal populations in the occipito-temporal cortex, such as the fusiform and the lateral occipital gyrus, were highly sensitive to perceptual stimulus differences. This sensitivity was not present for novel birds, indicating experience-related changes in neuronal representations. Neurons in STS showed category selectivity. A release from adaptation in STS was only observed when two birds in a pair crossed the category boundary. This dissociation could not be explained by perceptual similarities because the physical difference between birds from the same side of the category boundary and between birds from opposite sides of the category boundary was equal. Together, the occipito-temporal cortex and the STS have the properties suitable for a system that can both generalize across stimuli and discriminate between them.
影响因子：
3.7
作者：
J. Weisberg;M. van Turennout;Alex Martin
通讯作者：
J. Weisberg;M. van Turennout;Alex Martin
影响因子：
3.7
作者：
Yaoda Xu
通讯作者：
Yaoda Xu