Neuroinformatics Presumptions of Semantic Representations Evolution

Abstract

Obviously, the brain is both very large and very heterogeneous neural network that is complex in architecture. Such representations are not only well supported by a comparison with the architecture and informatics of the brain, but are also effectively modelled in applications. TextAnalyst, a software technology for automatic semantic analysis of unstructured texts (which isbased on an artificial neural network based on neurons with time summation of signals), effectively implements the functions of forming a homogeneous semantic network, automatic abstracting of texts, comparing texts by their meaning, as well as classifying and clustering texts. It can be assumed that this technology will also effectively analyze code sequences obtained in the analysis of video sequences, if this analysis is sufficiently bionic. A single approach to the processing of textual and visual information will enable constructing effective multimodal systems for processing and presenting information, which is the only accurate approach to the modelling of human intellectual functions.