Table of Contents
1.1 The Intelligence Revolution
1.2 The rise of intelligence science
1.3 Ten big issues of intelligence science
Chapter 2. Foundation of neurophysiology
2.5 Transmembrane signal transduction
2.6 Resting membrane potential
3.2 Back-propagation learning algorithm
3.3 Adaptive resonance theory model
3.4 Bayesian linking field model
4.8 Perception, memory, and judgment model
Chapter 5. Perceptual intelligence
5.7 Speech recognition and synthesis
6.5 Augmented transition networks
6.8 Neural model of language understanding
7.1 Basic principle of learning
7.2 The learning theory of the behavioral school
7.4 Humanistic learning theory
7.9 Cognitive machine learning
8.7 Complementary learning and memory
8.8 Hierarchical temporal memory
9.2 Hierarchical model of thought
Chapter 10. Intelligence development
10.4 Intelligence development based on operation
10.5 Intelligence development based on morphism category theory
10.7 Artificial system of intelligence development
Chapter 11. Emotion intelligence
12.4 Theory of neuronal group selection
12.6 Information integration theory
12.7 Consciousness system in CAM
Chapter 13. Brain–computer integration
13.2 Modules of the brain–computer interface
13.3 Electroencephalography signal analysis
13.4 Brain–computer interface technology
13.5 P300 brain–computer interface system
13.7 Key technologies of brain–computer integration
Chapter 14. Brain-like intelligence
14.4 Brain research in the United States