Bioinspired Neural Model of the Semantic Content

The paper started from the premise that semantic structures can be identified in natural language at the neural level and investigated the possibility of implementing such a structure using self-organizing maps (SOMs). The phonemes are the fundamental units that contribute according to an underlying dynamic process to the formation of meaning as a whole. The dynamic process of the formation of words was simulated by the enfoldment of the SOMs of the component phonemes. The resultant SOM serves as the meaning carrying structure at the word level.