ARC Discovery: Communication and Information Storage Mechanisms in Complex Dynamical Brain Networks
Assessing the hypothesis that oscillations allow communication of information between seperate brain regions.
Repetitive oscillations are often observed in measurements of brain signals. While mathematical approaches have discovered how these oscillations arise in brain networks from complex interactions between large numbers of neurons, their role in brain function remains a largely unresolved and fundamentally important question. A novel approach will assess the hypothesis that oscillations allow communication of information between separate brain regions. Mathematical and computational models of modulation and memory storage/ retrieval in oscillatory brain networks will be produced, and assessed, using communications-engineering metrics. Findings will potentially lead to innovative ideas for future medical bionics and brainmachine interfaces.
Australian Research Fellowship - Dr Mark McDonnell
2010 - 2014