Editors:
- Includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2–6, 2017, in Moscow, Russia
- Reports on both the theory and applications of artificial neural networks
- Presents topics ranging from advances in machine learning to evolutionary programming and neuroimaging/neurobiology
- Offers a multidisciplinary perspective on neuroinformatics
Part of the book series: Studies in Computational Intelligence (SCI, volume 736)
Conference series link(s): NEUROINFORMATICS: International Conference on Neuroinformatics
Conference proceedings info: NEUROINFORMATICS 2017.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (28 papers)
-
Front Matter
-
Neural Network Theory
-
Front Matter
-
-
Applications of Neural Networks
-
Front Matter
-
About this book
This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.
Keywords
- Neural Excitability
- Cellular Mechanisms
- Cognition and Behavior
- Learning and Memory
- Motivation and Emotion
- Bayesian Networks
- Kernel Methods
- Generative Models
- Deep Learning Networks
- Memristor Based Neural Networks
- Random Neural Networks
- Modeling Dynamical Systems
- Brain Reverse Engineering
- Biomedical Signal Processing
- Modeling of Cognitive Evolution
- Adaptive Algorithms
Editors and Affiliations
-
Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia
Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko
Bibliographic Information
Book Title: Advances in Neural Computation, Machine Learning, and Cognitive Research
Book Subtitle: Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia
Editors: Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-66604-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-66603-7Published: 29 August 2017
Softcover ISBN: 978-3-319-88283-3Published: 12 May 2018
eBook ISBN: 978-3-319-66604-4Published: 28 August 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XV, 199
Number of Illustrations: 60 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Biological and Medical Physics, Biophysics, Simulation and Modeling, Computational Biology/Bioinformatics