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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

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Boris Kryzhanovsky

    1. Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia

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  2. Witali Dunin-Barkowski

    1. Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia

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  3. Vladimir Redko

    1. Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia

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  4. Yury Tiumentsev

    1. Moscow Aviation Institute (National Research University), Moscow, Russia

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  • Reports on advanced theories and applications of artificial neural networks
  • Focuses on problems in neuroscience, systems biophysics, cognitive research and adaptive control
  • Merges topics in neurobiology, machine learning and evolutionary programming

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

Included in the following conference series:

Conference proceedings info: NEUROINFORMATICS 2020.

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Table of contents (51 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Invited Papers

    1. Front Matter

      Pages 1-1
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    2. Reverse Engineering the Brain Based on Machine Learning

      • S. A. Shumsky
      Pages 3-9

    3. 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

  3. Cognitive Sciences and Brain-Computer Interface

    1. Front Matter

      Pages 35-35
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    2. 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

    3. 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

    4. 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

    5. 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

    6. 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

    7. Analytic Model of Mental Rotation

      • Evgeny Meilikov, Rimma Farzetdinova
      Pages 71-84

    8. Topology of the Thesaurus of Russian Adjectives Revealed by Measurements of the Spoken Word Recognition Time

      • Victor Vvedensky, Konstantin Gurtovoy
      Pages 85-90

  4. Adaptive Behavior and Evolutionary Simulation

    1. Front Matter

      Pages 91-91
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    2. Model of Self-organizing System of Autonomous Agents

      • Zarema B. Sokhova
      Pages 93-100

    3. Role of Resource Production in Community of People and Robots

      • Vladimir B. Kotov, Zarema B. Sokhova
      Pages 101-111

    4. Modeling of Interaction Between Learning and Evolution at Minimizing of Spin-Glass Energy

      • Vladimir G. Red’ko, Galina A. Beskhlebnova
      Pages 112-117

    5. Symmetry Learning Using Non-traditional Biologically Plausible Learning Method

      • Alexander Lebedev, Vladislav Dorofeev, Vladimir Shakirov
      Pages 118-124

    6. Providing Situational Awareness in the Control of Unmanned Vehicles

      • Dmitry M. Igonin, Pavel A. Kolganov, Yury V. Tiumentsev
      Pages 125-134

  5. Neurobiology and Neurobionics

    1. Front Matter

      Pages 135-135
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    2. 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
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  1. Advances in Neural Computation, Machine Learning, and Cognitive Research IV

Keywords

About this book

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.

Editors and Affiliations

  • Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia

    Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko

  • Moscow Aviation Institute (National Research University), Moscow, Russia

    Yury Tiumentsev

Bibliographic Information

  • Book Title: Advances in Neural Computation, Machine Learning, and Cognitive Research IV

  • Book Subtitle: Selected Papers from the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia

  • Editors: Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-60577-3

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-60576-6Published: 02 October 2020

  • Softcover ISBN: 978-3-030-60579-7Published: 03 October 2021

  • eBook ISBN: 978-3-030-60577-3Published: 01 October 2020

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVI, 441

  • Number of Illustrations: 68 b/w illustrations, 101 illustrations in colour

  • Topics: Computational Intelligence, Machine Learning, Control and Systems Theory, Biomedical Engineering and Bioengineering

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