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在思维和大脑中解码语义表示。

Decoding semantic representations in mind and brain.

机构信息

Medical Research Council (MRC) Cognition and Brain Sciences Unit, Chaucer Road, Cambridge CB2 7EF, UK.

Medical Research Council (MRC) Cognition and Brain Sciences Unit, Chaucer Road, Cambridge CB2 7EF, UK.

出版信息

Trends Cogn Sci. 2023 Mar;27(3):258-281. doi: 10.1016/j.tics.2022.12.006. Epub 2023 Jan 9.

Abstract

A key goal for cognitive neuroscience is to understand the neurocognitive systems that support semantic memory. Recent multivariate analyses of neuroimaging data have contributed greatly to this effort, but the rapid development of these novel approaches has made it difficult to track the diversity of findings and to understand how and why they sometimes lead to contradictory conclusions. We address this challenge by reviewing cognitive theories of semantic representation and their neural instantiation. We then consider contemporary approaches to neural decoding and assess which types of representation each can possibly detect. The analysis suggests why the results are heterogeneous and identifies crucial links between cognitive theory, data collection, and analysis that can help to better connect neuroimaging to mechanistic theories of semantic cognition.

摘要

认知神经科学的一个主要目标是理解支持语义记忆的神经认知系统。最近对神经影像学数据的多元分析在这方面做出了巨大贡献,但这些新方法的快速发展使得很难跟踪研究结果的多样性,也很难理解它们为何以及何时会导致相互矛盾的结论。我们通过回顾语义表示的认知理论及其神经实现来解决这一挑战。然后,我们考虑了神经解码的当代方法,并评估了每种方法可能检测到的表示类型。分析表明了结果为何存在异质性,并确定了认知理论、数据收集和分析之间的关键联系,这有助于更好地将神经影像学与语义认知的机制理论联系起来。

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