Neuroinformatics and Semantic Representations: Theory and Applications

✍ Scribed by Alexander Kharlamov (editor), Maria Pilgun (editor)

• Publisher: Cambridge Scholars Publishing
• Year: 2020
• Tongue: English
• Leaves: 318
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Dedication
Table of Contents
List of Abbreviations
Preface • Alexander Kharlamov
Part I: Neuroinformatics and Semantic Representations: Theory
1 The Semantic Network as a Model of the World, and Purposeful Behaviour • Alexander Kharlamov
2 On a Type of Artificial Neural Network Based on Neurons with Temporal Summation of Signals • Alexander Kharlamov
3 Structural Processing of Information in the Human Brain. Model of the World • Alexander Kharlamov
4 Distributional and Network Semantics. Text Analysis Approaches • Alexander Kharlamov, Denis Gordeev and Dmitry Pantiukhin
5 A Network N-gram Model of the Text. A Topic Tree of the Text – Minimal Tree Subgraph of the Semantic Network • Alexander Kharlamov
6 Synchronization of Communicants’ Models of Subject Domains in the Process of Dialogue • Alexander Kharlamov, Vladimir Ryzhov and Maria Pilgun
Part II: Applications: Semantic Text and Quasi-Text Analysis
7 Text Analyst Technology for Automatic Semantic Analysis of Text • Alexander Kharlamov
8 Tools for Information and Analytical Expert Evaluation Based on Authors’ Texts • Alexander Kharlamov, Boris Vasin and Maria Pilgun
9 Ranking the Parameters of Human Capital Assets using a Homogenous Semantic Network of a Text Corpus • Alexander Kharlamov, Petr Kuznetsov and Vadim Novikov
10 Implicit Knowledge in the Perception of the Text (in Works by V. Nabokov and J. Brodsky): A Neural Network Approach • Alexander Kharlamov and Maria Pilgun
11 Using a Homogeneous Semantic Network to Classify the Results of Genetic Analysis • Alexey Kulikov and Alexander Kharlamov
Part III: Other Points of View
12 Neurosemantic Network • Andrey Lavrentyev
13 Multimodal Semantics in Control and Monitoring Tasks • Alexander Kharlamov, Roman Zharkoy, Konstantin Ermishin and Valeriy Arzumanov
Contributors
Index