Happy holidays from us to you—get up to $30 off your next print or eBook! Shop now >>

Springer Series on Bio- and Neurosystems

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Authors: Kasabov, Nikola K.

  • Presents background knowledge and new generic methods for spiking neural networks, evolving spiking neural networks and brain-inspired spiking neural networks
  • Describes new specific methods for the creation of BI-AI systems
  • Focuses on applications such as modeling and analysis of time-space data
see more benefits

Buy this book

eBook 178,49 €
price for Spain (gross)
  • ISBN 978-3-662-57715-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 228,79 €
price for Spain (gross)
  • ISBN 978-3-662-57713-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI).  BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.


About the authors

Nikola Kirilov Kasabov is Professor of neural networks and knowledge engineering and Director of the Knowledge Engineering and Discovery Research Institute (KEDRI) at the Auckland University of Technology (AUT), New Zealand. Born in  Bulgaria, he has worked previously at the TU Sofia, University of Essex and University of Otago. He is fellow of IEEE, Fellow of the Royal Society (Academy) of New Zealand (RSNZ), Distinguished Fellow of the Royal Academy of Engineering UK and Visiting Professor at several universities, including: Shanghai Jia-Tong University; ETH and University of Zurich; RGU Scotland UK; University of Trento; University of Kaiserslautern; Universities of Twente and Maastricht. Prof Kasabov originated methods and systems for intelligent information processing, including: evolving connectionist systems, hybrid neuro-fuzzy systems, evolving- and brain –inspired spiking neural network architectures, quantum-inspired methods, methods for personalised modelling in bio and neuroinformatics, published in more than 600 works. He is Past President of the International Neural Network Society (INNS) and the current President of the Asia-Pacific Neural Network Society (APNNS). Prof Kasabov has received the INNS Ada Lovelace and Gabor Awards, APNNS Outstanding Achievements Award, RSNZ Medal, AUT Medal, Honourable Fellowship of the  Bulgarian and the Greek Computer Societies, Pavlikeni Honourable Citizenship and other awards. He has been the editor of the Springer Handbook of Bio-/Neuro-informatics published by Springer in 2014 and of the related book series Springer Series on Bio- and Neurosystems.

Table of contents (22 chapters)

  • Evolving Processes in Time-Space. Deep Learning and Deep Knowledge Representation in Time-Space. Brain-Inspired AI

    Kasabov, Nikola K.

    Pages 3-37

    Preview Buy Chapter 30,19 €
  • Artificial Neural Networks. Evolving Connectionist Systems

    Kasabov, Nikola K.

    Pages 39-83

    Preview Buy Chapter 30,19 €
  • Deep Learning and Deep Knowledge Representation in the Human Brain

    Kasabov, Nikola K.

    Pages 87-123

    Preview Buy Chapter 30,19 €
  • Methods of Spiking Neural Networks

    Kasabov, Nikola K.

    Pages 127-167

    Preview Buy Chapter 30,19 €
  • Evolving Spiking Neural Networks

    Kasabov, Nikola K.

    Pages 169-199

    Preview Buy Chapter 30,19 €

Buy this book

eBook 178,49 €
price for Spain (gross)
  • ISBN 978-3-662-57715-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 228,79 €
price for Spain (gross)
  • ISBN 978-3-662-57713-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
Authors
Series Title
Springer Series on Bio- and Neurosystems
Series Volume
7
Copyright
2019
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag GmbH Germany, part of Springer Nature
eBook ISBN
978-3-662-57715-8
DOI
10.1007/978-3-662-57715-8
Hardcover ISBN
978-3-662-57713-4
Series ISSN
2520-8535
Edition Number
1
Number of Pages
XXXIV, 738
Number of Illustrations
84 b/w illustrations, 256 illustrations in colour
Topics