Artificial intelligence in the age of neural networks and brain computing / edited by Robert Kozma ... [et al.]. -- London, United Kingdom ; San Diego, CA, United States : Academic Press, an imprint of Elsevier, c2019. – (73.8146/A791)

Contents

List of Contributors

Editors' Brief Biographies

Introduction

CHAPTER 1  Nature's Learning Rule: The Hebbian-LMS Algorithm

CHAPTER 2  A Half Century of Progress Toward a Unified Neural Theory of Mind and Brain With Applications to Autonomous Adaptive Agents and Mental Disorders

CHAPTER 3  Third Gen AI as Human Experience Based Expert Systems

CHAPTER 4  The Brain-Mind-Computer Trichotomy: Hermeneutic Approach

CHAPTER 5  From Synapses to Ephapsis: Embodied Cognition and Wearable Personal Assistants

CHAPTER 6  Evolving and Spiking Connectionist Systems for Brain-inspired Artificial Intelligence

CHAPTER 7  Pitfalls and Opportunities in the Development and Evaluation of Artificial Intelligence Systems

CHAPTER 8  The New AI: Basic Concepts, and Urgent Risks and Opportunities in the Internet of Things

CHAPTER 9  Theory of the Brain and Mind: Visions and History

CHAPTER 10  Computers Versus Brains: Game Is Over or More to Come?

CHAPTER 11  Deep Learning Approaches to Electrophysiological Multivariate Time-Series Analysis

CHAPTER 12  Computational Intelligence in the Time of Cyber-Physical Systems and the Internet of Things

CHAPTER 13  Multiview Learning in Biomedical Applications.

CHAPTER 14  Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer

CHAPTER 15  Evolving Deep Neural Networks

Index