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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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Boris Kryzhanovsky

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

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  2. Witali Dunin-Barkowski

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

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  3. Vladimir Redko

    1. Scientific Research Institute for System Analysis of 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 856)

Included in the following conference series:

Conference proceedings info: NEUROINFORMATICS 2019.

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Table of contents (50 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Invited Papers

    1. Front Matter

      Pages 1-1
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    2. Deep Learning a Single Photo Voxel Model Prediction from Real and Synthetic Images

      • Vladimir V. Kniaz, Peter V. Moshkantsev, Vladimir A. Mizginov
      Pages 3-16

    3. Tensor Train Neural Networks in Retail Operations

      • Serge A. Terekhov
      Pages 17-24

    4. Semi-empirical Neural Network Based Modeling and Identification of Controlled Dynamical Systems

      • Yury Tiumentsev, Mikhail Egorchev
      Pages 25-42

  3. Artificial Intelligence

    1. Front Matter

      Pages 43-43
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    2. Photovoltaic System Control Model on the Basis of a Modified Fuzzy Neural Net

      • Ekaterina A. Engel, Nikita E. Engel
      Pages 45-52

    3. Impact of Assistive Control on Operator Behavior Under High Operational Load

      • Mikhail Kopeliovich, Evgeny Kozubenko, Mikhail Kashcheev, Dmitry Shaposhnikov, Mikhail Petrushan
      Pages 53-61

    4. Hierarchical Actor-Critic with Hindsight for Mobile Robot with Continuous State Space

      • Staroverov Aleksey, Aleksandr I. Panov
      Pages 62-70

    5. The Hybrid Intelligent Information System for Music Classification

      • Aleksandr Stikharnyi, Alexey Orekhov, Ark Andreev, Yuriy Gapanyuk
      Pages 71-77

    6. The Hybrid Intelligent Information System for Poems Generation

      • 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
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    2. Is Information Density a Reliable Universal Predictor of Eye Movement Patterns in Silent Reading?

      • Valeriia A. Demareva, Yu. A. Edeleva
      Pages 89-94

    3. Bistable Perception of Ambiguous Images – Analytical Model

      • Evgeny Meilikov, Rimma Farzetdinova
      Pages 95-105

    4. Video-Computer Technology of Real Time Vehicle Driver Fatigue Monitoring

      • Y. R. Muratov, M. B. Nikiforov, A. S. Tarasov, A. M. Skachkov
      Pages 106-115

    5. Consistency Across Functional Connectivity Methods and Graph Topological Properties in EEG Sensor Space

      • Anton A. Pashkov, Ivan S. Dakhtin
      Pages 116-123

    6. Evolutionary Minimization of Spin Glass Energy

      • Vladimir G. Red’ko, Galina A. Beskhlebnova
      Pages 124-130

    7. Comparison of Two Models of a Transparent Competitive Economy

      • Zarema B. Sokhova, Vladimir G. Red’ko
      Pages 131-137

    8. Spectral Parameters of Heart Rate Variability as Indicators of the System Mismatch During Solving Moral Dilemmas

      • I. M. Sozinova, K. R. Arutyunova, Yu. I. Alexandrov
      Pages 138-143

    9. The Role of Brain Stem Structures in the Vegetative Reactions Based on fMRI Analysis

      • Vadim L. Ushakov, Vyacheslav A. Orlov, Yuri I. Kholodny, Sergey I. Kartashov, Denis G. Malakhov, Mikhail V. Kovalchuk
      Pages 144-150
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Other volumes

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

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

Editors and Affiliations

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

    Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko

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

    Yury Tiumentsev

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