象棋 (2022-07-31 23:20):
#paper doi:https://doi.org/10.1101/2021.03.16.435524, bioRxiv preprint, (2021), Decoding the Information Structure Underlying the Neural Representation of Concepts. 人类对于语义概念的表征有三种,taxonomic(动物,工具等,强调类别),sensory-motor(苹果是红色的圆圆的很甜,强调各种特征),distributed(消防员和水龙头,强调共同出现的频率)。作者利用各种语料库得到了三种表征方式的行为模型,然后将这些行为模型和脑信号模型做相关,发现大部分脑区的表征方式为sensory-motor。
Decoding the Information Structure Underlying the Neural Representation of Concepts
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Abstract:
AbstractThe nature of the representational code underlying conceptual knowledge remains a major unsolved problem in cognitive neuroscience. We assessed the extent to which different representational systems contribute to the instantiation of lexical concepts in high-level, heteromodal cortical areas previously associated with semantic cognition. We found that lexical semantic information can be reliably decoded from a wide range of heteromodal cortical areas in frontal, parietal, and temporal cortex. In most of these areas, we found a striking advantage for experience-based representational structures (i.e., encoding information about sensory-motor, affective, and other features of phenomenal experience), with little evidence for independent taxonomic or distributional organization. These results were found independently for object and event concepts. Our findings indicate that concept representations in heteromodal cortex are based, at least in part, on experiential information. They also reveal that, in most heteromodal areas, event concepts have more heterogeneous representations (i.e., they are more easily decodable) than object concepts, and that other areas beyond the traditional “semantic hubs” contribute to semantic cognition, particularly the posterior cingulate gyrus and the precuneus.
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