This book provides novel insights into the study of empirical computational approaches in the field of Cultural Neuroscience. It discusses and analyses topics such as cultural intelligence, cultural machine learning, cultural brain dynamics, and cultural security.
This comprehensive text engages with computational principles to guide the research on the influence of cultural environments on human genetics. It explores the theoretical and methodological approaches involved in computational neuroscience. The author elucidates how cultural processes intersect with the structural organisation of the nervous system, contributing to the study of computational principles and neural information processing mechanisms at the cultural level. Research in this subject area can help provide better understanding of the role of computation in cultural neuroscience, stimulating further research into practice and policy.
Computational Cultural Neuroscience: An Introduction is the ideal resource for academics, researchers and students in psychology, neuroscience, computer science or philosophy who are interested in or cultural neuroscience.
1. Computational Cultural Neuroscience – Computational Approaches to Cultural
Neuroscience
1.1. History of Computation
1.2. Computational Cultural Neuroscience
1.3. The Computational Cultural Brain Hypothesis
1.4. Fundamentals of Computational Cultural Neuroscience
1.5. Cultural Computation
1.6. Cultural Mental Computation
1.7. Cultural Machine Computation
1.8. Cultural Neurocomputation
1.9. Cultural Brain Dynamics
1.10. Cultural Neural Networks
1.11. Theoretical Foundations of Computational Cultural Neuroscience
1.12. Methodological Foundations of Computational Cultural Neuroscience
1.13. Empirical Foundations of Computational Cultural Neuroscience
1.1.4. Cultural Affective Neurocomputation
1.1.5. Cultural Cognitive Neurocomputation
1.16. Cultural Social Neurocomputation
1.17. The Brain Basis of Culture and Behaviour
1.18. Discussion
1.19. Conclusion
2. Cultural Computation
2.1. Introduction
2.2. Cultural Computation
2.4. Cultural Mental Computation
2.5. Cultural Machine Computation
2.6. Culture, Mind and Machines
2.7. Culture and Machine Functionalism
2.8. Culture as a Causal System
2.9. Culture Mental Property
2.10. Cultural Physical Property
2.11. Culture and Computation
2.12. Discussion
2.13. Conclusion
3. Cultural Mental Computation
3.1. Introduction
3.2. Cultural Mental Computation
3.3. The Cultural Mind as a Computing Machine
3.4. Cultural Mental Causation
3.5. Functionalism of Culture and the Mind
3.6. Culture as a Psychological Realizer
3.7. Cultural Affective Computation
3.8. Cultural Cognitive Computation
3.9. Cultural Social Computation
3.10. Discussion
3.11. Conclusion
3.12. Implications
4. Cultural Machine Computation
4.1. Introduction
4.2. Cultural machine computation
4.3. Culture and Machine State Functionalism
4.4. Culture as Functional States
4.5. Culture as a Biological Computing Machine
4.6. The Cultural Computer as Machine Computation
4.7. Practical Applications
4.8. Discussion
4.9. Conclusion
4.10. Implications
5. Cultural Neurocomputation
5.1. Introduction
5.2. Culture as a Physical Realizer
5.3. Biological Organisms as Cultural Species
5.4. The culture Brain Hypothesis
5.5. Computational Principles of Cortical Brain Organization
5.6. Cultural Neurocomputation
5.7. Cultural Neural Networks
5.8. Cultural Affective Neural Networks
5.9. Cultural Cognitive Neural Networks
5.10. Cultural Social Neural Networks
5.11. The Cortical Brain Dynamics of Culture
5.12. Discussion
5.13. Conclusion
6. Cultural Neural Networks
6.1. Introduction
6.2. The Biology and Culture of Behavior
6.3. Computational Principles of Cortical Brain Networks
6.4. Cultural Neural Networks
6.5. Cultural affective Neural Networks
6.6. Cultural Cognitive Neural Networks
6.7. Cultural Social Neural Networks
6.8. Culture and Cortical Brain Dynamics
6.9. Discussion
6.10. Conclusion
6.11. Implication
7. Cultural Brain Dynamics
7.1. Introduction
7.2. Functional Architecture of the Cultural Brain
7.3. Computational Principles of Cortical Brain Dynamics
7.4. Computational Approaches to Cultural Brain Dynamics
7.5. Cultural Brain Dynamics
7.6. Cultural Brain Dynamics of Emotion
7.7. Cultural Brain Dynamics of Cognition
7.8. Cultural Brain Dynamics of Social Processing
7.9. Culture and Autonomous Brain Dynamics
7.10. Discussion
7.11. Conclusion
7.12. Implication
8. Cultural Machine Learning
8.1. Introduction
8.2. Culture as Minds and Machines
8.3. Culture as Computation
8.4. The Cultural Mind as Statistical Engine
8.5. The Cultural Brain as an Inference Machine
8.6. Functional Architecture of the Cultural Brain
8.7. Cultural Machine Learning
8.8. Conceptual Foundations
8.9. Methodological Foundations
8.10. Computational Modeling of Cultural Neural Networks
8.11. Computational Modeling of Cultural Brain Dynamics
8.12. Practical Applications
8.13. Discussion
8.14. Conclusion
8.15. Implication
9. Cultural Connectome
9.1. Introduction
9.2. Computational Principles of Cortical Brain Organization
9.3. The Brain Basis of Culture
9.4. Cultural Brain Dynamics
9.5. Computational Foundations of Cultural Brain Dynamics
9.6. Cultural Connectome
9.7. Conceptual Foundations
9.8. Methodological Foundations
9.9. Computational Approaches to the Cultural Connectome
9.10. Practical Applications
9.11. Discussion
9.12. Conclusion
9.13. Implication
10. Culture and Technology
10.1. Introduction
10.2. Culture and Technology
10.3. Conceptual Framework on Culture and Technology
10.4. Research and Development on Culture and Technology
10.5. Scientific and Technological Innovation on Culture and Technology
10.6. Culture and Technology in Health and Medicine
10.7. Culture and Technology as Health Promotion
10.8. Practical Applications
10.9. Discussion
10.10. Conclusion
10.11. Implication
11. Cultural Intelligence
11.1. Introduction
11.2. Evolutionary Cultural Neuroscience
11.3. The Biology and Culture of Behaviour
11.4. The Cultural Brain Hypothesis
11.5. Culture as Inference and Reason
11.6. Culture Intelligence
11.7. Conceptual Foundations of Cultural Intelligence
11.8. Methodological Foundations of Cultural Intelligence
11.9. Empirical Foundations of Cultural Intelligence
11.10. The Brain Basis of Cultural Intelligence
11.11. Cultural Machine Intelligence
11.12. Culture and the Complex Systems
11.13. Cultural Computation of Real and Artificial Systems
11.14. Practical Applications
11.15. Discussion
11.16. Conclusion
11.17. Implications
12. Computational Cultural Neuroscience and Public Policy
12.1. Introduction
12.2. Translation Research on Computational Cultural Neuroscience
12.3. Policy Framework on Computational Cultural Neuroscience
12.4. Computational Cultural Neuroscience and Public Policy
12.5. Evidence-Based Approaches to Computational Cultural Neuroscience
12.6. Evidence-Based Research on Computational Cultural Neuroscience
12.7. Evidence-Based Resources on Computational Cultural Neuroscience
12.8. Policy-Based Approaches to Computational Cultural Neuroscience
12.9. Policy-based Research on Computational Cultural Neurosciences
12.10. Discussion
12.11. Conclusion
12.12. Implications
Biography
Joan Y. Chiao is the Director of the International Cultural Neuroscience Consortium and the Director of the International Consortium for Computational Cultural Neuroscience. She received her Ph.D. from Harvard University and B.S. from Stanford University. Her research on computational cultural neuroscience examines the computational principles of cultural processes in the structure and function of the nervous system.
