Coding of visual object features and feature conjunctions in the human brain.
Coding of visual object features and feature conjunctions in the human brain.
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DOI：
10.1371/journal.pone.0003781
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发表时间：
2008
期刊：
影响因子：
3.7
通讯作者：
Müller MM
中科院分区：
文献类型：
--
作者：
Martinovic J;Gruber T;Müller MM
物体识别是通过依赖于分布式协调神经组件的活动的神经机制来实现的。在这个过程的最初几步，一个物体的特征被认为是在不同的神经组件中非常迅速地编码的。这些特征在识别过程中扮演着不同的功能角色--虽然颜色有助于识别，但额外的轮廓和边缘会延迟识别。在这里，我们选择性地改变了入门级分类范式中对象特征的数量和作用，并将它们与人脑的电活动联系起来。我们发现，早期的同步（约。100毫秒）时，更多的图像特征必须进行编码，定量增加，而不反映他们的定性贡献的识别过程。后期活动（约。200-400 ms）由对象特征的表征作用调制。这些研究结果表明，虽然早期同步可能是足够的相对粗糙的歧视对象的视觉场景，他们不能支持入门级的分类。这是由后来的对象模型选择过程，它利用对象特征的代表性价值，如颜色或边缘，选择适当的模型，并实现识别。
Object recognition is achieved through neural mechanisms reliant on the activity of distributed coordinated neural assemblies. In the initial steps of this process, an object's features are thought to be coded very rapidly in distinct neural assemblies. These features play different functional roles in the recognition process - while colour facilitates recognition, additional contours and edges delay it. Here, we selectively varied the amount and role of object features in an entry-level categorization paradigm and related them to the electrical activity of the human brain. We found that early synchronizations (approx. 100 ms) increased quantitatively when more image features had to be coded, without reflecting their qualitative contribution to the recognition process. Later activity (approx. 200–400 ms) was modulated by the representational role of object features. These findings demonstrate that although early synchronizations may be sufficient for relatively crude discrimination of objects in visual scenes, they cannot support entry-level categorization. This was subserved by later processes of object model selection, which utilized the representational value of object features such as colour or edges to select the appropriate model and achieve identification.
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