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1
Intro
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Outline
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Network Science
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Extraction of Brain Networks from Empirical Data
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Networks - Microscale: C. elegans
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Networks - Microscale: Mouse Retina
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Networks - Drosophila Brain
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Networks - Mouse Connectome
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Networks - Rat Cerebral Cortex Connectome
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Networks - Macaque Cortex
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Networks - Common Properties
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Mapping Human Brain Structural Connectivity
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Network Analysis of the Connectome
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Hubs in the Human Connectome
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Modules, Cores, and Rich Clubs
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Rich-Club Organization of the Human Connectome
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Brain Dynamics
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Relating Structural and Functional Connectivity
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Connectome-Based Models of Functional Connectivity
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Connectome-Based Models for Functional Connectivity
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Models of Communication Dynamics in the Brain
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Summary and Conclusion
Description:
Explore the intricate relationship between complex systems and the brain in this 52-minute lecture by Olaf Sporns from the Santa Fe Institute's 2015 Annual Science Board Symposium. Delve into network science and its application to brain research, examining brain networks across various scales and species. Learn about the extraction of brain networks from empirical data, common properties of neural networks, and the mapping of human brain structural connectivity. Investigate network analysis techniques, including the identification of hubs, modules, cores, and rich clubs in the human connectome. Discover models relating structural and functional connectivity, and explore communication dynamics in the brain. Gain insights into cutting-edge research bridging complex systems theory and neuroscience, offering a comprehensive overview of network-based approaches to understanding brain function.

Complex Systems and the Brain: From Networks to Dynamics and Function

Santa Fe Institute
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