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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 organization 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 of psychology, neuroscience, computer science or philosophy, who are interested in cultural neuroscience.
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.
1. Computational Cultural Neuroscience - Computational Approaches to Cultural Neuroscience 2. Cultural Computation 3. Cultural Mental Computation 4. Cultural Machine Computation 5. Cultural Neurocomputation 6. Cultural Neural Networks 7. Cultural Brain Dynamics 8. Cultural Machine Learning 9. Cultural Connectome 10. Culture and Technology 11. Cultural Intelligence 12. Computational Cultural Neuroscience and Public Policy
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