Stimulus-independent neural coding of event semantics: Evidence from cross-sentence fMRI decoding
Stimulus-independent neural coding of event semantics: Evidence from cross-sentence fMRI decoding
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事件语义的刺激独立神经编码:来自跨句功能磁共振成像解码的证据
DOI:
10.1101/2020.10.06.327817
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Asyraff A
中科院分区:
文献类型:
--
作者:
Asyraff A
Multivariate neuroimaging studies indicate that the brain represents word and object concepts in a format that readily generalises across stimuli. Here we investigated whether this was true for neural representations of simple events described using sentences. Participants viewed sentences describing four events in different ways. Multivariate classifiers were trained to discriminate the four events using a subset of sentences, allowing us to test generalisation to novel sentences. We found that neural patterns in a left-lateralised network of frontal, temporal and parietal regions discriminated events in a way that generalised successfully over changes in the syntactic and lexical properties of the sentences used to describe them. In contrast, decoding in visual areas was sentence-specific and failed to generalise to novel sentences. In the reverse analysis, we tested for decoding of syntactic and lexical structure, independent of the event being described. Regions displaying this coding were limited and largely fell outside the canonical semantic network. Our results indicate that a distributed neural network represents the meaning of event sentences in a way that is robust to changes in their structure and form. They suggest that the semantic system disregards the surface properties of stimuli in order to represent their underlying conceptual significance.
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DOI:
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发表时间:
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期刊:
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影响因子:
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