Part I. Invited Papers
Reverse Engineering the Brain Based on Machine Learning
Who Says Formalized Models are Appropriate for Describing Living Systems?
Part II. Cognitive Sciences and Brain-Computer Interface
Mirror Neurons in the Interpretation of Action and Intentions
Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition
Assessment of Cortical Travelling Waves Parameters Using Radially Symmetric Solutions to Neural Field Equations with Microstructure
A Rehabilitation Device for Paralyzed Disabled People Based on an Eye Tracker and fNIRS
Analytic Model of Mental Rotation
Topology of the Thesaurus of Russian Adjectives Revealed by Measurements of the Spoken Word Recognition Time
Part III. Adaptive Behavior and Evolutionary Simulation
Model of Self-organizing System of Autonomous Agents
Role of Resource Production in Community of People and Robots
Modeling of Interaction Between Learning and Evolution at Minimizing of Spin-Glass Energy
Symmetry Learning Using Non-traditional Biologically Plausible
Providing Situational Awareness in the Control of Unmanned Vehicles
Neurobiology and Neurobionics Complexity of Continuous Functions and Novel Technologies for Classification of Multi-channel EEG Records
Towards Neuroinformatic Approach for Second-Person Neuroscience
Is the Reinforcement Learning Theory Well Suited to Fit the Functioning of the Cerebral Cortex-Basal Ganglia System?
Neural Activity Retaining in Response to Flash Stimulus in a Ring Model of an Orientation Hypercolumn with Recurrent Connections, Synaptic Depression and Slow NMDA Kinetics
Applications of Neural Networks Deep Neural Networks for Ortophoto-Based Vehicle Localization
Roof Defect Segmentation on Aerial Images Using Neural Networks
Choice of Hyperparameter Values for Convolutional Neural Networks Based on the Analysis of Intra-network Processes
Generation an Annotated Dataset of Human Poses for Deep Learning Networks Based on Motion Tracking System
Automatic Segmentation of Acute Stroke Lesions Using Convolutional Neural Networks and Histograms of Oriented Gradients
Learning Embodied Agents with Policy Gradients to Navigate in Realistic Environments
Comparative Efficiency of Prediction of Relativistic Electron Flux in the Near-Earth Space Using Various Machine Learning Methods
Metal Oxide Gas Sensors Response Processing by Statistical Shape Analysis and Machine Learning Algorithm for Industrial Safety Applications
Feature Selection in Neural Network Solution of Inverse Problem Based on Integration of Optical Spectroscopic Methods
The Text Fragment Extraction Module of the Hybrid Intelligent Information System for Analysis of Judicial Practice of Arbitration Courts
Construction of a Neural Network Semi-empirical Model of Deflection of a Sample from a Composite Material
Combined Neural Network for Assessing the State of Computer Network Elements
Operational Visual Control of the Presence of Students in Training Sessions
Classification of Microscopy Image Stained by Ziehl-Neelsen Method Using Different Architectures of Convolutional Neural Network
Using a Sparse Neural Network to Predict Clicks probabilities in Online Advertising
Error Analysis for Visual Question Answering
Super Intelligence to Solve COVID-19 Problem
Neural Network Theory, Concepts and Architectures Time Series Prediction by Reservoir Neural Networks
Monitoring Human Cognitive Activity Through Biomedical Signal Analysis
Adversarial Dataset Augmentation Using Reinforcement Learning and 3D Modeling
Data Representation in All-Resistor Systems
The Neuromorphic Model of the Human Visual System
Ring of Unidirectionally Synaptically Coupled Neurons with a Relay Nonlinearity
Find a Needle in a Haystack
Sorting arXiv Articles by Your Criteria
Quantization of Weights of Trained Neural Network by Correlation Maximization Method
Solar Plant Intelligent Control System Under Uniform and Non-uniform Insolation
Hopfield Neural Network and Anisotropic Ising Model
Development of the Learning Logic Gate for Optimization of Neural Networks at the Hardware Level
Approximating Conductance-Based Synapses by Current-Based Synapses
STDP-Based Classificational Spiking Neural Networks Combining Rate and Temporal Coding
Solving Equations Describing Processes in a Piecewise Homogeneous Medium on Radial Basis Functions Networks
Decoding Neural Signals with a Compact and Interpretable Convolutional Neural Network
Estimation of the Complexity of the Classification Task Based on the Analysis of Variational Autoencoders.