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 1120)
Included in the following conference series:
Conference proceedings info: NEUROINFORMATICS 2023.
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Table of contents (51 papers)
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Neuroinformatics and Artificial Intelligence
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Neuromorphic Computing and Deep Learning
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Neural Networks and Cognitive Sciences
Other volumes
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Advances in Neural Computation, Machine Learning, and Cognitive Research VII
Keywords
- Recurrent Neural Networks
- Reinforcement Learning Applications
- EEG Pattern Analysis
- Deep Learning Models
- Convolutional Neural Network Architectures
- Neural Networks Applications in Bioimaging
- Image Segmentation with Machine Learning
- Modeling Neural Activity
- Spiking Dynamical Systems
- Neuromorphic Systems
- Neurocognitive Processing
- Neural Network Control Systems
- Neuroinformatics 2023
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 XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Neural Computation, Machine Learning, and Cognitive Research VII
Book Subtitle: Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia
Editors: Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin Klimov
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-031-44865-2
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 2023
Hardcover ISBN: 978-3-031-44864-5Published: 12 October 2023
Softcover ISBN: 978-3-031-44867-6Due: 12 November 2023
eBook ISBN: 978-3-031-44865-2Published: 11 October 2023
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVI, 501
Number of Illustrations: 70 b/w illustrations, 96 illustrations in colour
Topics: Computational Intelligence, Machine Learning, Neurosciences