There have been significant advances in brain research in recent years, increasing understanding of the brain and raising awareness and support for ongoing research.
Join University of Lethbridge researchers, students and community partners at Brain Awareness Week activities to learn more about these advances and what they mean for overall brain health.
Harley Hotchkiss Memorial Lecture Guest Speaker Dr. Petra Ritter
Join the Department of Neuroscience for their Harley Hotchkiss Memorial Lecture with guest speaker Dr. Petra Ritter for The Virtual Brain simulation platform: Inferring principles of network interactions underlying cognition.
Tuesday, March 17, 2020 12:15 pm to 1:15 pm SA8002
The challenge in studying the brain as a complex adaptive system is that complexity arises from the interactions of structure and function at different spatiotemporal scales. Modern neuroimaging can provide exquisite measures of structure and function separately, but misses the fact that the brain complexity emerges from the intersection of the two. Here is where computational modelling of brain networks can help. Models that simulate different combinations of subordinate features of behaviour of a complex system that often can only be measured invasively (e.g. local population dynamics and long-range interactions) identify the combination of features that most likely give rise to emergent behaviour that often is observable noninvasively (e.g. EEG, MEG, fMRI). We can exploit the power of large-scale network models to integrate disparate neuroimaging data sources and evaluate the potential underlying biophysical network mechanisms. This approach is now feasible because of the developments in a whole-brain simulation platform, TheVirtualBrain (TVB). TVB integrates empirical neuroimaging data from different modalities to construct biologically plausible computational models of brain network dynamics. TVB is a generative model wherein biophysical parameters for the level of cell population activity and anatomical connectivity are optimized/fitted so that they generate an individual’s observed data in humans, macaques or rodents. The inferences about brain dynamics, complexity, and the relation to cognition are thus made at the level of the biophysical features (e.g., balance of excitation and inhibition in a cell population) that generated the observed data, rather than particular features of the data (e.g. FC).
Brain Awareness Week (BAW) Keynote Event
Learning from Artificial Intelligence: a tale of using computers to better diagnose movement disorders.
Dr. Artur Luczak
Tuesday, March 17, 2020 | 7 p.m.
Science Commons | SA8002
University of Lethbridge Campus
PUBLIC TALK, FREE PARKING
Behaviour provides important insights into neuronal processes. Analysis of hand movements can give a reliable indication of the degree of impairment in neurological disorders such as stroke, Parkinson’s disease, or Huntington’s disease. Here, we will present how using Artificial Intelligence can provide a reliable assessment of movement deficits and how it can help to improve diagnosis and monitoring of neurological disorders.
CCBN Open House and Brain Awareness Fair
Saturday, March 21, 2020 | 10 a.m to 1 p.m.
Main & 8th Floor
University of Lethbridge Campus
FREE event that everyone is welcome to attend! Free parking. activities for children. Check out Canada’s most advanced facility for science education.
For more information, please contact us via email (email@example.com) or by phone 403-332-4099.