| Keith Smith |
| Tue 15 Nov 2016, 13:00 - 14:00 |
| AGB Seminar Room, AGB Building, King’s Buildings, EH9 3JL |
If you have a question about this talk, please contact: Aryan Kaushik (s1580884)
Open Access Article: http://www.sciencedirect.com/science/article/pii/S0165027016302679
Abstract: We provide a graph model and metric for analysing the relevance of hierarchical structure towards the complexity exhibited in the functional connectivity of the brain from EEG signals. Indeed, we show that complexity arises between ‘all nodes are equal’ topologies and ‘strict class’ based topologies and, in a specific instance, the hierarchical complexity of EEG functional connectivity is greater than that of our specifically designed model.
Biography: Keith Smith is a PhD student in IDCOM beginning his 3rd year under Dr. Javier Escudero’s supervision. His research interests include network science, applied graph signal processing and EEG functional connectivity.