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Newton's Laws of Motion are the basis of the mathematical tools that we use to analyse, model and predict the what happens in the physical world. |
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Oscillations and synchronisation in determining biological and physiological behaviour, (Mark Verwoerd). |
Network mathematics to understand biological interaction and function, (Mark Verwoerd and Oliver Mason). |
Optimality principles in metabolic regulation, (Diego Oyarzún). |
Parkinson's disease is an example of a complex disease with no single apparent cause, but with a number of implicated cellular and metabolic systems. It thus parallels the multi-factorial defects that occur in complex technological systems. We believe that a study from this systems approach may help illuminate causal factors of the disease.
Specific research includes:
A systems understanding of Parkinson's disease. (Peter Wellstead). |
The visualisation of micro-dialysis data from the indirect motor circuit of the brain. (Stuart Butler). |
The mathematical modelling and analysis of the brain energy metabolism (Mathieu Cloutier). |
The role of oscillatory and synchronous behaviour in biological systems (Mark Verwoerd) and the mathematical modelling of oscillatory and synchronised behaviour in the brain motor circuit control. |
The role of oscillatory theory in brain function (Míriam García). |
We also host and run a community-driven website on the Systems of Parkinson's Disease.