Spatiotemporal neural dynamics of object recognition under uncertainty in humans.
Spatiotemporal neural dynamics of object recognition under uncertainty in humans.
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作者：
Wu YH;Podvalny E;He BJ
虽然有大量关于核心物体识别的知识我们识别清晰、高对比度物体图像的能力大脑如何在不确定性增加的情况下完成物体识别任务仍然知之甚少。我们研究了时空神经动力学的基础上增加不确定性下的物体识别相结合的MEG和7特斯拉（7T）功能磁共振成像在人类在阈值水平的物体识别任务。我们观察到一个早期的，平行上升的腹侧视觉和额顶叶区域，出现之前的类别相关的信息的记忆相关的信号。腹侧视觉区域中的记忆相关信号最好用两种状态的表征形式来解释，即大脑活动分为识别和未识别的图像。相比之下，额顶叶区域的识别相关信号表现出识别图像的代表空间减少，但具有更清晰的类别信息。这些结果提供了一个时空分辨的神经活动支持对象识别下的不确定性，揭示了一种模式，从根本上的核心对象识别。
While there is a wealth of knowledge about core object recognition—our ability to recognize clear, high-contrast object images—how the brain accomplishes object recognition tasks under increased uncertainty remains poorly understood. We investigated the spatiotemporal neural dynamics underlying object recognition under increased uncertainty by combining MEG and 7 Tesla (7T) fMRI in humans during a threshold-level object recognition task. We observed an early, parallel rise of recognition-related signals across ventral visual and frontoparietal regions that preceded the emergence of category-related information. Recognition-related signals in ventral visual regions were best explained by a two-state representational format whereby brain activity bifurcated for recognized and unrecognized images. By contrast, recognition-related signals in frontoparietal regions exhibited a reduced representational space for recognized images, yet with sharper category information. These results provide a spatiotemporally resolved view of neural activity supporting object recognition under uncertainty, revealing a pattern distinct from that underlying core object recognition.