Neuroinformatics and Semantic Representations: Theory and Applications
This book proposes an approach to the analysis of information using a neural network based on neural-like elements and temporal summation of signals, which makes it possible to implement a structural approach to the analysis of information streams. Together with associative access to information, structural multilevel analysis enables the interpretation of information processing in columns of the cerebral cortex of humans. Using representations of information processing in the hippocampus, it is possible to re-construct the human model of the world and to interpret purposeful behaviour. The book describes the procedure for synchronizing the world models of various people, allowing automatic semantic analysis of unstructured text information, including construction of a semantic network of a text as its semantic portrait.
Dr Alexander Kharlamov is Senior Researcher at the Neuroontogenesis Laboratory at the Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences. He is also a Professor in the Chair of Applied and Experimental Linguistics at Moscow State Linguistic University and a Professor in the Department of Software Engineering at the Higher School of Economics, Moscow. He is the author of more than 130 publications, and is the Editor-in-Chief of the journal Speech Technology.
Dr Maria Pilgun is a Lead Researcher in the Department of Psycholinguistics at the Institute of Linguistics of the Russian Academy of Sciences. She is the author of more than 200 publications, and has worked on a number of projects funded by the Russian Foundation for Basic Research and the Russian Humanitarian Fund.
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