Department of Neurobiology, University of Chicago, Chicago, IL 60637, USA.
Trends Neurosci. 2024 Mar;47(3):170-180. doi: 10.1016/j.tins.2024.01.001. Epub 2024 Feb 2.
Our brains are good at detecting and learning associative structures; according to some linguistic theories, this capacity even constitutes a prerequisite for the development of syntax and compositionality in language and verbalized thought. I will argue that the search for associative motifs in input patterns is an evolutionary old brain function that enables contiguity in sensory perception and orientation in time and space. It has its origins in an elementary material property of cells that is particularly evident at chemical synapses: input-assigned calcium influx that activates calcium sensor proteins involved in memory storage. This machinery for the detection and learning of associative motifs generates knowledge about input relationships and integrates this knowledge into existing networks through updates in connectivity patterns.
我们的大脑善于检测和学习联想结构;根据一些语言学理论,这种能力甚至构成了语言和言语思维中句法和组合性发展的前提。我将论证,在输入模式中寻找联想模式是一种古老的大脑功能,它使感官感知具有连续性,并在时间和空间上具有定向性。它起源于细胞的一种基本物质特性,在化学突触中尤为明显:输入分配的钙内流激活参与记忆存储的钙传感器蛋白。这种用于检测和学习联想模式的机制生成了关于输入关系的知识,并通过连接模式的更新将这些知识整合到现有网络中。