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

Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia

  • Conference proceedings
  • © 2019

Overview

  • 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 799)

Included in the following conference series:

Conference proceedings info: NEUROINFORMATICS 2018.

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Table of contents (42 papers)

  1. Invited Papers

  2. Neural Network Theory

  3. Applications of Neural Networks

Other volumes

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

Keywords

About this book

This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems 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 XX International Conference on Neuroinformatics, held in Moscow, Russia on October 8–12, 2018.

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

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