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CHAPTER
A Half Century of Progress
Toward a Unified Neural 2
Theory of Mind and Brain
With Applications to
Autonomous Adaptive
Agents and
Mental Disorders
Stephen Grossberg
Center for Adaptive Systems Graduate Program in Cognitive and Neural Systems, Departments of
Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering, Boston
University, Boston, MA, United States
CHAPTER OUTLINE
1. Towards a Unified Theory of Mind and Brain ........................................................32
2. A Theoretical Method for Linking Brain to Mind: The Method of
Minimal Anatomies.............................................................................................33
3. Revolutionary Brain Paradigms: Complementary Computing and
Laminar Computing.............................................................................................35
4. The What and Where Cortical Streams Are Complementary...................................36
5. Adaptive Resonance Theory ................................................................................37
6. Vector Associative Maps for Spatial Representation and Action ............................40
7. Homologous Laminar Cortical Circuits for All Biological Intelligence:
Beyond Bayes ....................................................................................................40
8. Why a Unified Theory Is Possible: Equations, Modules, and Architectures .............45
9. All Conscious States Are Resonant States............................................................46
10. The Varieties of Brain Resonances and the Conscious Experiences That
They Support......................................................................................................46
11. Why Does Resonance Trigger Consciousness? .....................................................47
12. Towards Autonomous Adaptive Intelligent Agents and Clinical Therapies
in Society ..........................................................................................................48
References ...............................................................................................................49
31
Artificial Intelligence in the Age of Neural Networks and Brain Computing. https://doi.org/10.1016/B978-0-12-815480-9.00002-5
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