Advances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers From the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia. Front Matter ....Pages i-xvi Front Matter ....Pages 1-1 Reverse Engineering the Brain Based on Machine Learning (S. A. Shumsky)....Pages 3-9 Who Says Formalized Models are Appropriate for Describing Living Systems? (V. G. Yakhno, S. B. Parin, S. A. Polevaya, I. V. Nuidel, O. V. Shemagina)....Pages 10-33 Front Matter ....Pages 35-35 Mirror Neurons in the Interpretation of Action and Intentions (Yuri V. Bushov, Vadim L. Ushakov, Mikhail V. Svetlik, Sergey I. Kartashov, Vyacheslav A. Orlov)....Pages 37-43 Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition (Irina Knyazeva, Boytsova Yulia, Sergey Danko, Nikolay Makarenko)....Pages 44-50 Assessment of Cortical Travelling Waves Parameters Using Radially Symmetric Solutions to Neural Field Equations with Microstructure (Evgenii Burlakov, Vitaly Verkhlyutov, Ivan Malkov, Vadim Ushakov)....Pages 51-57 The Solution to the Problem of Classifying High-Dimension fMRI Data Based on the Spark Platform (Alexander Efitorov, Vladimir Shirokii, Vyacheslav Orlov, Vadim Ushakov, Sergey Dolenko)....Pages 58-64 A Rehabilitation Device for Paralyzed Disabled People Based on an Eye Tracker and fNIRS (Andrey N. Afonin, Rustam G. Asadullayev, Maria A. Sitnikova, Anatoliy A. Shamrayev)....Pages 65-70 Analytic Model of Mental Rotation (Evgeny Meilikov, Rimma Farzetdinova)....Pages 71-84 Topology of the Thesaurus of Russian Adjectives Revealed by Measurements of the Spoken Word Recognition Time (Victor Vvedensky, Konstantin Gurtovoy)....Pages 85-90 Front Matter ....Pages 91-91 Model of Self-organizing System of Autonomous Agents (Zarema B. Sokhova)....Pages 93-100 Role of Resource Production in Community of People and Robots (Vladimir B. Kotov, Zarema B. Sokhova)....Pages 101-111 Modeling of Interaction Between Learning and Evolution at Minimizing of Spin-Glass Energy (Vladimir G. Red’ko, Galina A. Beskhlebnova)....Pages 112-117 Symmetry Learning Using Non-traditional Biologically Plausible Learning Method (Alexander Lebedev, Vladislav Dorofeev, Vladimir Shakirov)....Pages 118-124 Providing Situational Awareness in the Control of Unmanned Vehicles (Dmitry M. Igonin, Pavel A. Kolganov, Yury V. Tiumentsev)....Pages 125-134 Front Matter ....Pages 135-135 Complexity of Continuous Functions and Novel Technologies for Classification of Multi-channel EEG Records (Boris S. Darkhovsky, Alexandra Piryatinska, Yuri A. Dubnov, Alexey Y. Popkov, Alexander Y. Kaplan)....Pages 137-142 Towards Neuroinformatic Approach for Second-Person Neuroscience (Lubov N. Podladchikova, Dmitry G. Shaposhnikov, Evgeny A. Kozubenko)....Pages 143-148 Is the Reinforcement Learning Theory Well Suited to Fit the Functioning of the Cerebral Cortex-Basal Ganglia System? (Irina A. Smirnitskaya)....Pages 149-156 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 (Vasilii S. Tiselko, Margarita G. Kozeletskaya, Anton V. Chizhov)....Pages 157-163 Front Matter ....Pages 165-165 Deep Neural Networks for Ortophoto-Based Vehicle Localization (Alexander Rezanov, Dmitry Yudin)....Pages 167-174 Roof Defect Segmentation on Aerial Images Using Neural Networks (Dmitry A. Yudin, Vasily Adeshkin, Alexandr V. Dolzhenko, Alexandr Polyakov, Andrey E. Naumov)....Pages 175-183 Choice of Hyperparameter Values for Convolutional Neural Networks Based on the Analysis of Intra-network Processes (Dmitry M. Igonin, Pavel A. Kolganov, Yury V. Tiumentsev)....Pages 184-197 Generation an Annotated Dataset of Human Poses for Deep Learning Networks Based on Motion Tracking System (Igor Artamonov, Yana Artamonova, Alexander Efitorov, Vladimir Shirokii, Oleg Vasilyev)....Pages 198-204 Automatic Segmentation of Acute Stroke Lesions Using Convolutional Neural Networks and Histograms of Oriented Gradients (Nurlan Mamedov, Sofya Kulikova, Victor Drobakha, Elena Bartuli, Pavel Ragachev)....Pages 205-211 Learning Embodied Agents with Policy Gradients to Navigate in Realistic Environments (Alexey Staroverov, Vladislav Vetlin, Stepan Makarenko, Anton Naumov, Aleksandr I. Panov)....Pages 212-221 Comparative Efficiency of Prediction of Relativistic Electron Flux in the Near-Earth Space Using Various Machine Learning Methods (Irina Myagkova, Vladimir Shirokii, Roman Vladimirov, Oleg Barinov, Sergey Dolenko)....Pages 222-227 Metal Oxide Gas Sensors Response Processing by Statistical Shape Analysis and Machine Learning Algorithm for Industrial Safety Applications (Alexander Efitorov, Matvei Andreev, Valeriy Krivetskiy)....Pages 228-233 Feature Selection in Neural Network Solution of Inverse Problem Based on Integration of Optical Spectroscopic Methods (Igor Isaev, Olga Sarmanova, Sergey Burikov, Tatiana Dolenko, Kirill Laptinskiy, Sergey Dolenko)....Pages 234-241 The Text Fragment Extraction Module of the Hybrid Intelligent Information System for Analysis of Judicial Practice of Arbitration Courts (Maria O. Taran, Georgiy I. Revunkov, Yuriy E. Gapanyuk)....Pages 242-248 Construction of a Neural Network Semi-empirical Model of Deflection of a Sample from a Composite Material (Dmitry Tarkhov, Valeriy Tereshin, Galina Malykhina, Anastasia Gomzina, Ilya Markov, Pavel Malykh)....Pages 249-255 Combined Neural Network for Assessing the State of Computer Network Elements (Igor Saenko, Fadey Skorik, Igor Kotenko)....Pages 256-261 Operational Visual Control of the Presence of Students in Training Sessions (Oleg I. Fedyaev, Nikolay M. Tkachev)....Pages 262-268 Classification of Microscopy Image Stained by Ziehl–Neelsen Method Using Different Architectures of Convolutional Neural Network (Inga G. Shelomentseva, Serge V. Chentsov)....Pages 269-275 Using a Sparse Neural Network to Predict Clicks Probabilities in Online Advertising (Yuriy S. Fedorenko)....Pages 276-282 Error Analysis for Visual Question Answering (Artur Podtikhov, Makhmud Shaban, Alexey K. Kovalev, Aleksandr I. Panov)....Pages 283-292 Super Intelligence to Solve COVID-19 Problem (Vladislav P. Dorofeev, Alexander E. Lebedev, Vladimir V. Shakirov, Witali L. Dunin-Barkowski)....Pages 293-300 Front Matter ....Pages 301-301 Time Series Prediction by Reservoir Neural Networks (Mikhail S. Tarkov, Ivan A. Chernov)....Pages 303-308 Monitoring Human Cognitive Activity Through Biomedical Signal Analysis (Konstantin V. Sidorov, Natalya I. Bodrina, Natalya N. Filatova)....Pages 309-315 Adversarial Dataset Augmentation Using Reinforcement Learning and 3D Modeling (Vladimir V. Kniaz, Vladimir A. Knyaz, Vladimir Mizginov, Ares Papazyan, Nikita Fomin, Lev Grodzitsky)....Pages 316-329 Data Representation in All-Resistor Systems (Vladimir B. Kotov, Galina A. Beskhlebnova)....Pages 330-338 The Neuromorphic Model of the Human Visual System (Anton Korsakov, Aleksandr Bakhshiev)....Pages 339-346 Ring of Unidirectionally Synaptically Coupled Neurons with a Relay Nonlinearity (Sergey D. Glyzin, Margarita M. Preobrazhenskaia)....Pages 347-356 Find a Needle in a Haystack - Sorting arXiv Articles by Your Criteria (Vladimir V. Shakirov, Vladislav P. Dorofeev, Alexander E. Lebedev, Witali L. Dunin-Barkowski)....Pages 357-362 Quantization of Weights of Trained Neural Network by Correlation Maximization Method (Maria Pushkareva, Yakov Karandashev)....Pages 363-373 Solar Plant Intelligent Control System Under Uniform and Non-uniform Insolation (Ekaterina A. Engel, Nikita E. Engel)....Pages 374-380 Hopfield Neural Network and Anisotropic Ising Model (Dmitry V. Talalaev)....Pages 381-386 Development of the Learning Logic Gate for Optimization of Neural Networks at the Hardware Level (Taras Mikhailyuk, Sergey Zhernakov)....Pages 387-393 Approximating Conductance-Based Synapses by Current-Based Synapses (Mikhail Kiselev, Alexey Ivanov, Daniil Ivanov)....Pages 394-402 STDP-Based Classificational Spiking Neural Networks Combining Rate and Temporal Coding (Aleksandr Sboev, Danila Vlasov, Alexey Serenko, Roman Rybka, Ivan Moloshnikov)....Pages 403-411 Solving Equations Describing Processes in a Piecewise Homogeneous Medium on Radial Basis Functions Networks (Dmitry A. Stenkin, Vladimir I. Gorbachenko)....Pages 412-419 Decoding Neural Signals with a Compact and Interpretable Convolutional Neural Network (Artur Petrosyan, Mikhail Lebedev, Alexey Ossadtchi)....Pages 420-428 Estimation of the Complexity of the Classification Task Based on the Analysis of Variational Autoencoders (Andrey A. Brynza, Maria O. Korlyakova)....Pages 429-437 Back Matter ....Pages 439-441