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

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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