Binder Jeffrey R
Department of Neurology, Medical College of Wisconsin, 9200 W. Wisconsin Ave., Milwaukee, WI, 53226, USA.
Psychon Bull Rev. 2016 Aug;23(4):1096-108. doi: 10.3758/s13423-015-0909-1.
An extensive program of research in the past 2 decades has focused on the role of modal sensory, motor, and affective brain systems in storing and retrieving concept knowledge. This focus has led in some circles to an underestimation of the need for more abstract, supramodal conceptual representations in semantic cognition. Evidence for supramodal processing comes from neuroimaging work documenting a large, well-defined cortical network that responds to meaningful stimuli regardless of modal content. The nodes in this network correspond to high-level "convergence zones" that receive broadly crossmodal input and presumably process crossmodal conjunctions. It is proposed that highly conjunctive representations are needed for several critical functions, including capturing conceptual similarity structure, enabling thematic associative relationships independent of conceptual similarity, and providing efficient "chunking" of concept representations for a range of higher order tasks that require concepts to be configured as situations. These hypothesized functions account for a wide range of neuroimaging results showing modulation of the supramodal convergence zone network by associative strength, lexicality, familiarity, imageability, frequency, and semantic compositionality. The evidence supports a hierarchical model of knowledge representation in which modal systems provide a mechanism for concept acquisition and serve to ground individual concepts in external reality, whereas broadly conjunctive, supramodal representations play an equally important role in concept association and situation knowledge.
在过去20年里,广泛的研究项目聚焦于模态感觉、运动和情感脑系统在存储和检索概念知识中的作用。这种聚焦在某些圈子里导致了对语义认知中更抽象的超模态概念表征需求的低估。超模态加工的证据来自神经成像研究,该研究记录了一个大型的、定义明确的皮层网络,该网络对有意义的刺激做出反应,而不管其模态内容如何。这个网络中的节点对应于高级“汇聚区”,这些区域接收广泛的跨模态输入,并可能处理跨模态连接。有人提出,高度连接的表征对于几个关键功能是必要的,包括捕捉概念相似性结构、实现独立于概念相似性的主题关联关系,以及为一系列需要将概念配置为情境的高阶任务提供高效的概念表征“组块”。这些假设的功能解释了广泛的神经成像结果,这些结果表明超模态汇聚区网络受到联想强度、词汇性、熟悉度、可想象性、频率和语义组合性的调节。证据支持一种知识表征的层次模型,其中模态系统提供了概念获取的机制,并将单个概念与外部现实联系起来,而广泛连接的超模态表征在概念关联和情境知识中发挥着同样重要的作用。