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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

  • Boris Kryzhanovsky
  • Witali Dunin-Barkowski
  • Vladimir Redko
  • Yury Tiumentsev
Conference proceedings NEUROINFORMATICS 2020

Part of the Studies in Computational Intelligence book series (SCI, volume 925)

Table of contents

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

    1. Front Matter
      Pages 1-1
    2. V. G. Yakhno, S. B. Parin, S. A. Polevaya, I. V. Nuidel, O. V. Shemagina
      Pages 10-33
  3. Cognitive Sciences and Brain-Computer Interface

    1. Front Matter
      Pages 35-35
    2. Yuri V. Bushov, Vadim L. Ushakov, Mikhail V. Svetlik, Sergey I. Kartashov, Vyacheslav A. Orlov
      Pages 37-43
    3. Alexander Efitorov, Vladimir Shirokii, Vyacheslav Orlov, Vadim Ushakov, Sergey Dolenko
      Pages 58-64
    4. Andrey N. Afonin, Rustam G. Asadullayev, Maria A. Sitnikova, Anatoliy A. Shamrayev
      Pages 65-70
    5. Evgeny Meilikov, Rimma Farzetdinova
      Pages 71-84
  4. Adaptive Behavior and Evolutionary Simulation

    1. Front Matter
      Pages 91-91
    2. Vladimir B. Kotov, Zarema B. Sokhova
      Pages 101-111
    3. Vladimir G. Red’ko, Galina A. Beskhlebnova
      Pages 112-117
    4. Alexander Lebedev, Vladislav Dorofeev, Vladimir Shakirov
      Pages 118-124
    5. Dmitry M. Igonin, Pavel A. Kolganov, Yury V. Tiumentsev
      Pages 125-134
  5. Neurobiology and Neurobionics

    1. Front Matter
      Pages 135-135
    2. Boris S. Darkhovsky, Alexandra Piryatinska, Yuri A. Dubnov, Alexey Y. Popkov, Alexander Y. Kaplan
      Pages 137-142
    3. Lubov N. Podladchikova, Dmitry G. Shaposhnikov, Evgeny A. Kozubenko
      Pages 143-148
  6. Applications of Neural Networks

    1. Front Matter
      Pages 165-165
    2. Alexander Rezanov, Dmitry Yudin
      Pages 167-174
    3. Dmitry A. Yudin, Vasily Adeshkin, Alexandr V. Dolzhenko, Alexandr Polyakov, Andrey E. Naumov
      Pages 175-183
    4. Igor Artamonov, Yana Artamonova, Alexander Efitorov, Vladimir Shirokii, Oleg Vasilyev
      Pages 198-204
    5. Nurlan Mamedov, Sofya Kulikova, Victor Drobakha, Elena Bartuli, Pavel Ragachev
      Pages 205-211
    6. Alexey Staroverov, Vladislav Vetlin, Stepan Makarenko, Anton Naumov, Aleksandr I. Panov
      Pages 212-221
    7. Irina Myagkova, Vladimir Shirokii, Roman Vladimirov, Oleg Barinov, Sergey Dolenko
      Pages 222-227
    8. Igor Isaev, Olga Sarmanova, Sergey Burikov, Tatiana Dolenko, Kirill Laptinskiy, Sergey Dolenko
      Pages 234-241
    9. Dmitry Tarkhov, Valeriy Tereshin, Galina Malykhina, Anastasia Gomzina, Ilya Markov, Pavel Malykh
      Pages 249-255
    10. Igor Saenko, Fadey Skorik, Igor Kotenko
      Pages 256-261
    11. Oleg I. Fedyaev, Nikolay M. Tkachev
      Pages 262-268
    12. Artur Podtikhov, Makhmud Shaban, Alexey K. Kovalev, Aleksandr I. Panov
      Pages 283-292
    13. Vladislav P. Dorofeev, Alexander E. Lebedev, Vladimir V. Shakirov, Witali L. Dunin-Barkowski
      Pages 293-300
  7. Neural Network Theory, Concepts and Architectures

    1. Front Matter
      Pages 301-301
    2. Mikhail S. Tarkov, Ivan A. Chernov
      Pages 303-308
    3. Konstantin V. Sidorov, Natalya I. Bodrina, Natalya N. Filatova
      Pages 309-315
    4. Vladimir V. Kniaz, Vladimir A. Knyaz, Vladimir Mizginov, Ares Papazyan, Nikita Fomin, Lev Grodzitsky
      Pages 316-329
    5. Vladimir B. Kotov, Galina A. Beskhlebnova
      Pages 330-338
    6. Anton Korsakov, Aleksandr Bakhshiev
      Pages 339-346
    7. Sergey D. Glyzin, Margarita M. Preobrazhenskaia
      Pages 347-356
    8. Vladimir V. Shakirov, Vladislav P. Dorofeev, Alexander E. Lebedev, Witali L. Dunin-Barkowski
      Pages 357-362

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 XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, 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 2020

Editors and affiliations

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

Bibliographic information