Artificial Intelligence in the Age of Neural Networks and Brain Computing - 1st Edition - ISBN: 9780128154809

Artificial Intelligence in the Age of Neural Networks and Brain Computing

1st Edition

Paperback ISBN: 9780128154809
Imprint: Academic Press
Published Date: 1st June 2018
Page Count: 420
Sales tax will be calculated at check-out Price includes VAT/GST

Institutional Access

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.


Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book.

Key Features

  • Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN)
  • Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making
  • Edited by high-level academics and researchers in intelligent systems and neural networks


Researchers, engineers, post-doc students in computational intelligence, neural engineering and advanced AI practitioners

Table of Contents

1. Autonomy of robots: Should we be afraid of robot intelligence and what can we do about it?
2. Computational intelligence in the time of Cyber-physical systems and the Internet-of-Things
3. The brain-mind-computer trichotomy: hermeneutic approach
4. Hebbian-LMS, An Unsupervised Biologically-Based Training Algorithm For Neural Network
5. Conceptional Design of the Trustworthiness of Computational Artificial Intelligence
6. Revolutionary new brain-mind approaches
7. From synapses to ephapsis
8. Deep Learning of Streaming data in Spiking Neural networks and Spatio-Temporal Data Machines
9. Pitfalls and Opportunities in the Development and Evaluation of AI systems
10. Robust and Explainable Neural Networks for Adversarial Environment - a survey
11. Neural Networks in Computational Cognitive Neuroscience
12. Neural networks in the context of goal-directed robot manipulation
13. A Deep Learning Approach to Electrophysiological Multivariate Time Series Analysis
14. Multi-view learning in biomedical applications
15. Meaning vs. Information, Prediction vs. Memory, and Question vs. Answer
16. Evolution of Deep Learning Networks


No. of pages:
© Academic Press 2018
Academic Press
Paperback ISBN:

Ratings and Reviews