Date: Tuesday, November 20th, 2018
Time: 12:30–17:15
Venue: The University of Melbourne
Abstract
The human brain is a complex, interconnected network. This educational workshop provides an introduction to the burgeoning field of Network Neuroscience, which uses the concepts from network science and the mathematics of graph theory to understand the structure and dynamics of interconnected neural systems. The workshop will cover fundamental concepts and practical considerations when conducting network analyses of neuroscientific data, with a principal focus on applications to human neuroimaging. It is suitable for both researchers with a background in psychological and biological sciences looking to understand the technical and conceptual foundations of the field, and for scientists with backgrounds in computational and physical sciences seeking to understand how network science can be applied to understand the brain.
Preliminary program
| Time | Speaker | Title |
| 12:30–13:00 | Alex Fornito | Building a graph |
| 13:00–13:30 | Andrew Zalesky | Thresholding and statistics |
| 13:30–14:00 | James Roberts | Null models |
| 14:00–14:30 | Break | |
| 14:30–15:00 | Caio Seguin | Communication models |
| 15:00–15:30 | Aurina Arnatkeviciute | Hubs and clubs |
| 15:30–16:00 | Mac Shine | Modules |
| 16:00–16:15 | Break | |
| 16:15–16:45 | Mangor Pederson | Multilayer networks |
| 16:45–17:15 | Marta Garrido | Dynamic causal modelling |
