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Advances in Neural Computation, Machine Learning, and Cognitive Research III

Selected Papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia

  • Boris Kryzhanovsky
  • Witali Dunin-Barkowski
  • Vladimir Redko
  • Yury Tiumentsev
Conference proceedings NEUROINFORMATICS 2019

Part of the Studies in Computational Intelligence book series (SCI, volume 856)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Invited Papers

    1. Front Matter
      Pages 1-1
    2. Vladimir V. Kniaz, Peter V. Moshkantsev, Vladimir A. Mizginov
      Pages 3-16
  3. Artificial Intelligence

    1. Front Matter
      Pages 43-43
    2. Mikhail Kopeliovich, Evgeny Kozubenko, Mikhail Kashcheev, Dmitry Shaposhnikov, Mikhail Petrushan
      Pages 53-61
    3. Aleksandr Stikharnyi, Alexey Orekhov, Ark Andreev, Yuriy Gapanyuk
      Pages 71-77
    4. Maria Taran, Georgiy Revunkov, Yuriy Gapanyuk
      Pages 78-86
  4. Cognitive Sciences and Brain-Computer Interface, Adaptive Behavior and Evolutionary Simulation

    1. Front Matter
      Pages 87-87
    2. Evgeny Meilikov, Rimma Farzetdinova
      Pages 95-105
    3. Y. R. Muratov, M. B. Nikiforov, A. S. Tarasov, A. M. Skachkov
      Pages 106-115
    4. Vladimir G. Red’ko, Galina A. Beskhlebnova
      Pages 124-130
    5. Zarema B. Sokhova, Vladimir G. Red’ko
      Pages 131-137
    6. Vadim L. Ushakov, Vyacheslav A. Orlov, Yuri I. Kholodny, Sergey I. Kartashov, Denis G. Malakhov, Mikhail V. Kovalchuk
      Pages 144-150
    7. Victor Vvedensky, Konstantin Gurtovoy, Mikhail Sokolov, Mikhail Matveev
      Pages 151-156
  5. Neurobiology and Neurobionics

    1. Front Matter
      Pages 157-157
    2. Alexandra I. Bulava, Sergey V. Volkov, Yuri I. Alexandrov
      Pages 159-164
    3. Anton V. Chizhov, Elena G. Yakimova, Elena Y. Smirnova
      Pages 165-171
    4. Sergey D. Glyzin, Margarita M. Preobrazhenskaia
      Pages 181-189
    5. Maiya A. Rozhnova, Victor B. Kazantsev, Evgeniya V. Pankratova
      Pages 190-196
  6. Deep Learning

    1. Front Matter
      Pages 205-205
    2. Nikolay Filatov, Vladislav Vlasenko, Ivan Fomin, Aleksandr Bakhshiev
      Pages 214-220
    3. E. M. Khayrov, M. Yu. Malsagov, I. M. Karandashev
      Pages 230-238
    4. Irina Knyazeva, Andrey Rybintsev, Timur Ohinko, Nikolay Makarenko
      Pages 239-245
    5. Viktor Moskalenko, Nikolai Zolotykh, Grigory Osipov
      Pages 246-254
    6. Dmitry A. Yudin, Alexandr V. Dolzhenko, Ekaterina O. Kapustina
      Pages 271-281
  7. Applications of Neural Networks

    1. Front Matter
      Pages 283-283
    2. Alexander Efitorov, Sergey Dolenko, Tatiana Dolenko, Kirill Laptinskiy, Sergey Burikov
      Pages 285-294
    3. Daria A. Eroshenkova, Valeri I. Terekhov, Dmitry R. Khusnetdinov, Sergey I. Chumachenko
      Pages 295-302
    4. Vasiliy E. Gai, Igor V. Polyakov, Olga V. Andreeva
      Pages 303-308
    5. Dmitry M. Igonin, Yury V. Tiumentsev
      Pages 309-318
    6. Vladimir B. Kotov, Alexandr N. Palagushkin, Fedor A. Yudkin
      Pages 326-334
    7. Alexey Schekalev, Victor Kitov
      Pages 342-350
    8. L. S. Telyatnikov, I. M. Karandashev
      Pages 359-364
  8. Neural Network Theory, Concepts and Architectures

    1. Front Matter
      Pages 365-365

About these proceedings

Introduction

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 XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, Russia.

Keywords

3D Object Reconstruction Application of Tensor Train Neural Networks Control and Monitoring of Operator Performance Recurrent Analysis of EEG Patterns Fatigue Control Models Attention Recognition Algorithms for Eye Detection Autonomous Agent in Economy Analysis of Avoidance Behavior Grasping Control Neural Networks for Video Surveillance System Convolutional Recurrent Spiking Neural Networks Deep Learning for Image Recognition Facial Expression Recognition Automated Species Identification Multi-parameter Inverse Problems Functional Connectivity Methods Neuroinformatics 2019

Editors and affiliations

  • Boris Kryzhanovsky
    • 1
  • Witali Dunin-Barkowski
    • 2
  • Vladimir Redko
    • 3
  • Yury Tiumentsev
    • 4
  1. 1.Scientific Research Institute for System Analysis of Russian Academy of SciencesMoscowRussia
  2. 2.Scientific Research Institute for System Analysis of Russian Academy of SciencesMoscowRussia
  3. 3.Scientific Research Institute for System Analysis of Russian Academy of SciencesMoscowRussia
  4. 4.Moscow Aviation Institute (National Research University)MoscowRussia

Bibliographic information