Boris Kryzhanovsky - Advances in Neural Computation, Machine Learning, and Cognitive Research V: Selected Papers from the XXIII International Conference on ...

The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligencequickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.

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The international conference Neuroinformatics is the annual multidisciplinary scientific forum dedicated to the theory and applications of artificial neural networks, the problems of neuroscience and biophysics systems, artificial intelligence, adaptive behavior and cognitive studies.

The scope of the conference is wide, ranging from theory of artificial neural networks, machine learning algorithms and evolutionary programming to neuroimaging and neurobiology.

Main topics of the conference cover theoretical and applied research from the following fields:

neurobiology and neurobionics: cognitive studies, neural excitability, cellular mechanisms, cognition and behavior, learning and memory, motivation and emotion, bioinformatics, adaptive behavior and evolutionary modeling, and braincomputer interface;

neural networks: neurocomputing and learning, paradigms and architectures, biological foundations, computational neuroscience, neurodynamics, neuroinformatics, deep learning networks, neuro-fuzzy systems and hybrid intelligent systems;

machine learning: pattern recognition, Bayesian networks, kernel methods, generative models, information theoretic learning, reinforcement learning, relational learning, dynamical models, classification and clustering algorithms and self-organizing systems;

applications: medicine, signal processing, control, simulation, robotics, hardware implementations, security, finance and business, data mining, natural language processing, image processing and computer vision.

More than 100 reports were presented at the Neuroinformatics-2021 conference. Of these, 46 papers were selected, for which articles were prepared and published in this volume.