For the past 50 years, since his foundational articles appeared in the Proceedings of the National Academy of Sciences in 1967-1980, Stephen Grossberg has been internationally recognized as the most important pioneer and current research leader who introduces and develops neural network models and mathematical methods for both biological and artificial intelligence. This work has always had its foundation in discoveries about biological and machine learning. More generally, Grossberg is the world's leading scientist/engineer who discovers and models neural design principles and mechanisms that enable the behavior of individuals, or machines, to adapt autonomously in real time to unexpected environmental challenges. These discoveries have laid the scientific foundations of the revolutionary computational paradigm of autonomous adaptive intelligence, and his neural network models have been applied to many large-scale problems in engineering and technology, notably the design of increasingly

autonomous adaptive algorithms and mobile agents. To acknowledge these contributions, Grossberg received the 2015 Norman Anderson Lifetime Achievement Award of the Society of Experimental Psychologists, the 2017 Frank Rosenblatt Award of the IEEE Computational Intelligence Society, and the 2019 Donald O. Hebb Award of the International Neural Network Society.

• PREFACE


• Biological intelligence in sickness, health, and technology


• Chapter 1. OVERVIEW


• From Complementary Computing and Adaptive Resonance to conscious awareness


• Chapter 2. HOW A BRAIN MAKES A MIND


• Physics and psychology split as brain theories were born


• Chapter 3. HOW A BRAIN SEES: CONSTRUCTING REALITY


• Visual reality as illusions that explain how we see art


• Chapter 4. HOW A BRAIN SEES: NEURAL MECHANISMS


• From boundary completion and surface filling-in to figure-ground perception


• Chapter 5. LEARNING TO ATTEND, RECOGNIZE, AND PREDICT THE WORLD


• From vigilant conscious awareness to autism, amnesia, and Alzheimer's disease


• Chapter 6. CONSCIOUS SEEING AND INVARIANT RECOGNITION


• Complementary cortical streams coordinate attention for seeing and recognition


• Chapter 7. HOW WE SEE A CHANGING WORLD


• How vision regulates object and scene persistence


• Chapter 8. HOW WE SEE AND RECOGNIZE OBJECT MOTION


• Visual form and motion perception obey complementary laws


• Chapter 9. TARGET TRACKING, NAVIGATION, AND DECISION-MAKING


• Visual tracking and navigation obey complementary laws


• Chapter 10. LAMINAR COMPUTING BY CEREBRAL CORTEX


• Towards a unified theory of biological and artificial intelligence


• Chapter 11. HOW WE SEE THE WORLD IN DEPTH


• From 3D vision to how 2D pictures induce 3D percepts


• Chapter 12. FROM SEEING AND REACHING TO HEARING AND SPEAKING


• Circular reaction, streaming, working memory, chunking, and number


• Chapter 13. FROM KNOWING TO FEELING


• How emotion regulates motivation, attention, decision, and action


• Chapter 14. HOW PREFRONTAL CORTEX WORKS


• Cognitive working memory, planning, and emotion conjointly achieve valued goals


• Chapter 15. ADAPTIVELY TIMED LEARNING


• How timed motivation regulates conscious learning and memory consolidation


• Chapter 16. LEARNING MAPS TO NAVIGATE SPACE


• From grid, place, and time cells to autonomous mobile agents


• Chapter 17. A UNIVERSAL DEVELOPMENTAL CODE


• Mental measurements embody universal laws of cell biology and physics