Advances in Neural Computation, Machine Learning, and Cognitive Research V: Selected Papers from the XXIII International Conference on ...

Preface
Organization
	Editorial Board
	Advisory Board
	Program Committee of the XXI International Conference “Neuroinformatics-2019”
	General Chair
	Co-chair
	Program Committee
Contents
Artificial Intelligence
Cognitive Technologies and Artificial Mind for Humanoid Robots
	1 Introduction
	2 Cognitive Technologies
	3 Artificial Mind
	4 Cognitive Speech Dialogue System of the Humanoid Robot
	5 Conclusion
	References
Deep Reinforcement Ant Colony Optimization for Swarm Learning
	1 Introduction
	2 Proposed Approach
		2.1 Swarm Markov Decision Processes
		2.2 DRACO Algorithm
	3 Experiments and Results
	4 Conclusion
	References
Object-Process Methodology for Intelligent System Development
	1 Introduction
	2 Object-Process Methodology for System Engineering
	3 Object-Process Model of the Unique HPC System Development
	4 Experiment
	5 Conclusion
	References
Cognitive Sciences and Brain-Computer Interface
The Phenomenon of Resonance in Knowledge Distillation: Learning Students by Non-strong Teachers
	1 Introduction
	2 Methodology
		2.1 Problem Formulation and KD Description
		2.2 Identifying Resonance in Existing Studies
	3 Experiments
	4 Conclusion
	References
Possibility of Harmonious Coexistence of Human and Artificial Beings
	1 Introduction
	2 Model Description
	3 Equations and Analysis
	4 Non-stop Robot Manufacturing
	5 Consumption-Dependent Robot Manufacturing
	6 Conclusion
	References
Origin of the Polysemy of Words
	1 Introduction
	2 Centrally Symmetric Array of Semantic Categories
	3 Accumulation of Words During Language Acquisition
	References
Value-Based Decision Making – Simple Analytic Theory
	1 Introduction
	2 Energy Function for Neuronal-Network Model of Decision Making
	3 Decision Making: Experiment and Theory
	4 Conclusion
	References
Search for Informative Frequency Range and EEG Time Boundaries for Solving the Problem of Motor Imagery Patterns Classification
	1 Introduction
	2 Methods
		2.1 Dataset, Experimental Design and Setup
		2.2 Machine Learning Methods
	3 Results
		3.1 Baseline Accuracy
		3.2 Search for Informative Frequencies
		3.3 Additional Search for Informative Time Segments
	4 Conclusions
	References
Motor Imagery-Related Quasi-Stationary EEG Patterns for Neural Interfaces
	1 Introduction
	2 Research Methodology
		2.1 Participants and Experimental Procedure
		2.2 EEG Registration and Data Analysis
	3 Results and Discussion
		3.1 Analysis of EEG Features
		3.2 Computational Experiments
	4 Conclusion
	References
Development of Algorithms to Detect EEG Patterns Specific for Arbitrary Motor Activity of a Human in the BCI Applications
	1 Introduction
	2 Detection Method and Temporal Localization of Premotor EEG Patterns
	3 Research Methodology
	4 Computational Results
	5 Conclusion
	References
EEG Patterns of Cognitive Processing of Adjectives of Different Frequency of Occurrence and Emotional Coloring
	1 Introduction
	2 Methods
		2.1 Subjects
		2.2 Choice of Verbal Stimuli
		2.3 EEG Experiment
		2.4 EEG Pre-processing
		2.5 EEG Analysis
		2.6 Extracting Source Activity Time Series
	3 Results
	4 Conclusions
	References
The Contact Cycle for Modeling the Behavior of the Virtual Bot-Presenter
	1 Introduction
	2 The Model of Contact Cycle
	3 Materials and Methods
	4 Results and Analysis
	5 Conclusions
	References
EEG Correlates of Perception of Emotional Adjectives Analyzed by Neural Network’s Interpretability Values
	1 Introduction
	2 Methods
		2.1 Experimental Group
		2.2 Experimental Procedure
		2.3 EEG Preprocessing
	3 Results
	4 Discussion
	References
A Virtual Clown Behavior Model Based on Emotional Biologically Inspired Cognitive Architecture
	1 Introduction
	2 Background and Related Work
		2.1 An Overview of the History of Clownery
		2.2 Virtual Clownery
		2.3 Virtual Agents and Models of Emotional Intelligence
	3 Materials and Methods
		3.1 Experimental Paradigm
		3.2 Behavior Model and Implementation
		3.3 Participants
	4 Results and Analysis
		4.1 Human-Written Narratives
		4.2 Machine-Written Narratives
		4.3 Comparison
	5 Concluding Remarks
	References
A Simple Human Brain Model Reproducing Evoked MEG Based on Neural Field Theory
	1 Introduction
	2 Construction of Traveling Wave Fronts Using Neural Field Equations
	3 Reproduction of Evoked MEG Using Individual Anatomical Human Brain Models
	4 Conclusions
	References
Adaptive Behavior and Evolutionary Simulation
Modeling of Interaction Between Learning and Evolution for Kauffman’s NK Networks
	1 Introduction
	2 Model Description
	3 Results of Computer Simulation
	4 Conclusion
	References
Mutations in Hopfield Neural Network
	1 Introduction
		1.1 Hopfield Model
	2 Network Mutations
		2.1 Parallel-Serial Connection
		2.2 Isolated Star-Triangle Transformation
		2.3 Local Star-Triangle Transformation
	3 Conclusion
	References
Neurobiology and Neurobionics
Three Unidirectionally Synaptically Coupled Bursting Neurons
	1 Introduction
	2 Model Description
	3 Formulation of the Problem
	4 Coexistence of Positive-Negative Bursting Modes
	5 Conclusion
	References
The Thalamic Nuclei Classification in Relation to Their Engagement in the Correction of Initial Movements
	1 Introduction
	2 The Control of Movements in Vertebrates. Basal Ganglia
	3 The Rules of Interaction of Evolutionarily Senior and Junior Structures
	4 The Thalamus Involvement in Movement Control
		4.1 Intralaminar Nuclei
		4.2 Motor Nuclei
		4.3 Somatosensory Nuclei of Thalamus
		4.4 Sensory Nuclei of Thalamus
	5 Conclusion
	References
Wavelet Analysis of the Non-stationary Rose-Hindmarsh Model Describing Neural Activity
	1 Introduction
	2 Rose-Hindmarsh Model
	3 Result
	4 Conclusion
	References
Contribution of Multilayer Interactions to Neural Activity Retaining in Response to Flash Stimulus in Simple and Complex Models of an Orientational Hypercolumn of Visual Cortex
	1 Introduction
	2 Methods
		2.1 Multilayer SDN Model
		2.2 Complex Model
	3 Results
	4 Conclusion
	References
Propagation and Relaxation of Neuronal Membrane Mechanical Deformations in Mathematical Model
	1 Introduction
	2 Mathematical Model
	3 Numerical Methods
	4 Results
	5 Conclusion
	References
“Smoothness” as a Measure of Diagnostics and Effectiveness of Musculoskeletal System Rehabilitation of Athletes
	1 Introduction
	2 Materials and Methods
	3 Results and Discussions
	4 Conclusions
	References
Deep Learning
The Bidirectional Variable Resistor Model
	1 Introduction
	2 The Variable Resistor Model
	3 The Dynamics of the Bidirectional Resistor
	4 Conclusions
	References
Application of the Compartmental Spiking Neuron Model for the Conditioned Reflex Implementation
	1 Introduction
	2 Compartmental Spiking Neuron Model
	3 Structural Adaptation of the Neuron Model
	4 The Scheme of Conditioned Reflex Formation
	5 Experiment on the Conditioned Reflex Formation
	6 Conclusion
	References
Applications of Neural Networks
Neural Network Detection of Objects of the Preset Type on the Road of the Car
	1 Introduction
	2 Description of the Method for Detecting Specified Objects in the Image
	3 The Choice of Software Tools for Constructing Models of Neural Networks
	4 Neural Network Segmentation of Objects and Their Classification
	5 Analysis of the Operation of the System for Detecting Objects in the Image
	6 Conclusions
	References
Optimizing Convolutional Neural Network Architecture for Microscopy Image Recognition for Tuberculosis Diagnosis
	1 Introduction
	2 Research Methods
	3 Results
	4 Conclusion
	References
Classification of Tree Species by Trunk Image Using Conventional Neural Network and Augmentation of the Training Sample Using a Telegram-Bot
	1 Introduction
	2 Methodology
	3 Experiments
	4 Sample Augmentation Using a Telegram Bot
	5 Conclusion
	References
Neural Text Question Generation for Russian Language Using Hybrid Intelligent Information Systems Approach
	1 Introduction
	2 The Architecture of the Intelligent Question Generation System
	3 The Implementation of the MQGML Module
		3.1 The Neural Network Model
		3.2 Configuration and Experiments
		3.3 Discussion on the Experiments
	4 Conclusions
	References
Research on the Applicability of Monocular 3d Object Detection Using CARLA Simulator
	1 Introduction
	2 Monocular 3d Object Detection
	3 Experiment in CARLA Simulator
	4 Conclusion
	References
Solving of Inverse Coefficient Problems on Networks of Radial Basis Functions
	1 Introduction
	2 Solution Algorithm
	3 Experimental Study
	4 Conclusion
	References
Cross-Modal Transfer Learning for Image and Sound
	1 Introduction
	2 Problem Statement
	3 Cross-Modal Transfer Learning Algorithm
	4 Experiments and Results
	5 Conclusions
	References
Research on Neural Networks for Landmark Detection in Robotic Vehicle Navigation Task
	1 Introduction
	2 Methods and Materials
		2.1 Related Works
		2.2 Algorithm Description
		2.3 Dataset Description
	3 Experimental Results
	4 Discussion
	5 Conclusions
	References
Extending Transformer Decoder with Working Memory for Sequence to Sequence Tasks
	1 Introduction
	2 Model and Experimental Setup
	3 Experimental Results
	4 Conclusion
	References
Real-Time Approach to Neural Network-Based Disparity Map Generation from Stereo Images
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Real-Time Approach to Neural Network-Based Disparity Map Generation from Stereo Images
	4 Experimental Results
	5 Conclusions
	References
The Deflection of Circle Membrane by the Action of a Cargo Located Asymmetrically Relatively to the Center
	1 Introduction
	2 Method and Materials
	3 Calculating
	4 Results of the Calculations
	5 Conclusions
	References
Generation of the Conductivity Matrix
	1 Introduction
	2 Resistor Array
	3 Evolution of the Conductivity Matrix
	4 Generation of the Conductivity Matrix
	5 Conclusions
	References
Research of Useful Signal Losses in Adaptive Antenna Arrays with Neural Network Control of Phase Shifters in Various Modes of Their Operation
	1 Introduction
	2 Formulation of the Problem
	3 Results
	4 Conclusions
	References
Generating a Summary of a Court Act Based on an Improved Text Fragment Extraction Module
	1 Introduction
	2 The Automatic Summarization Module
	3 The Text Fragment Extraction Module
		3.1 The First Version of the Module and Its Shortcomings
		3.2 The Improved Version of the Module
	4 Conclusions
	References
Multi-output Deep Learning Framework for Solar Atmospheric Parameters Inferring from Stokes Profiles
	1 Introduction
	2 Data and Methods
	3 Results
	4 Conclusion and Discussion
	References
Semantic Image Segmentation as a Tool for Situational Awareness in Unmanned Vehicle Control Tasks
	1 Introduction
	2 Situational Awareness and the Tasks Involved in Its Formation
	3 Description of the Experiment on the Formation of Visual Components of Situational Awareness
	4 Conclusions
	References
Issues of Tree Species Classification from LiDAR Data Using Deep Learning Model
	1 Introduction
	2 PointNet Classification of LiDAR Data
	3 Dataset Collection
	4 Experiment and Results
	5 Conclusion
	References
Neural Network Theory, Concepts and Architectures
CSNM: The Compartmental Spiking Neuron Model for Developing Neuromorphic Information Processing Systems
	1 Introduction
	2 Neuron Model
		2.1 Model Architecture
		2.2 Mathematical Description of Functional Elements
	3 The Experiments
		3.1 Analysis of Point Model Reactions to a Single Pulse
		3.2 The Model Hyperparameters Influence on Excitation
	4 Conclusion
	References
Comparison of Memory Mechanisms Based on Adaptive Threshold Potential and Short-Term Synaptic Plasticity
	1 Introduction
	2 Leaky Integrate-and-Fire Neuron with Adaptive Threshold
	3 Short-Term Synaptic Plasticity
	4 Measurement of Memory Characteristics
	5 Liquid State Machine
	6 Finding the Best Network
	7 Results
	8 Conclusion
	References
An Inverse Problem Involving Integration of Optical Spectroscopic Methods: Study of Influence of Feature Selection on Resilience of Neural Network Solution to Noise in Data
	1 Introduction
	2 Experimental Data
	3 Computational Experiment
		3.1 Noising Procedure
		3.2 Datasets
		3.3 Use of Neural Networks
		3.4 Feature Selection
	4 Results
	5 Conclusion
	References
Learning Independent Sparse Representation in Application to Symmetry Detection Problem
	1 Introduction
		1.1 The Challenge of Inventing Biologically Plausible Learning Methods
		1.2 Symmetry Detection Task as Test Problem
	2 The Model
		2.1 Neuron Model and Learning Procedure
		2.2 Interaction Between Neurons in the Same Layer.
		2.3 Experiments
	3 Conclusion
	References
Author Index