Discovering the Human Connectome with Dr. Olaf Sporns
Neuroscience Graduate Program Distinguished Speaker Seminar Series
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- Tuesday, December 11, 2012 11/12/2012 16:00:00 11/12/2012 17:00:00 6 Discovering the Human Connectome with Dr. Olaf SpornsCrucial to understanding how the brain works is connectivity, and the centerpiece of brain connectivity is the connectome, a comprehensive description of how neurons and brain regions are connected. Dr. Olaf Sporns argues that the nascent field of connectomics has already begun to influence the way many neuroscientists collect, analyze, and think about their data. Reception to follow from 5-6pm.University Park Campusheunjohns@usc.edu
- 4:00 PM to 5:00 PM
- University Park Campus
- Harris Hall (HAR)
- Gin D. Wong FAIA Conference Center
- (213) 740-8796
The human brain is a network of extraordinary complexity - a network not by way of metaphor, but in a precise and mathematical sense: an intricate web of billions of neurons connected by trillions of synapses. How this network is connected is important for virtually all facets of the brain's integrative function.
Olaf Sporns has written a book in which he surveys current efforts to chart these connections - to map the human connectome. Sporns, a pioneer in the field who was the first to define and use the term "connectome," argues that the nascent field of connectomics has already begun to influence the way many neuroscientists collect, analyze, and think about their data. Moreover, the idea of mapping the connections of the human brain in their entirety has captured the imaginations of researchers across several disciplines including human cognition, brain and mental disorders, and complex systems and networks. Sporns describes the biological and conceptual foundations of the connectome; the many research challenges it faces; the many cutting-edge empirical strategies, from electron microscopy to magnetic resonance imaging, deployed to map brain connectivity; the relationship between structure and function; and the wide array of network computational approaches to connectomics.