How do we cancel or modify movements? This collaborative project aims to improve our understanding of how movements are rapidly cancelled, or reprogrammed, based on visual cues. Using innovative computational models, non-invasive brain stimulation and recordings of muscle activity, the project aims to elucidate how our brains anticipate the possibility of having to cancel planned actions, and how this changes as a function of healthy ageing. The outcomes are expected to assist in the design of n ....How do we cancel or modify movements? This collaborative project aims to improve our understanding of how movements are rapidly cancelled, or reprogrammed, based on visual cues. Using innovative computational models, non-invasive brain stimulation and recordings of muscle activity, the project aims to elucidate how our brains anticipate the possibility of having to cancel planned actions, and how this changes as a function of healthy ageing. The outcomes are expected to assist in the design of neuromorphic technologies that mimic human brain function. The generated knowledge may also inform future research aimed at maintaining cognitive and motor function in the ageing workforce and treating conditions in which inhibitory control is compromised. Read moreRead less
Managing infectious disease through partial wildlife social networks. This project aims to investigate the dynamics of the spread of infectious disease in wildlife, derived from incomplete information about contact networks. Infectious diseases in wildlife are difficult to track and control, because it is not feasible to monitor each individual in a population and know the contact network for a population. The project will create ways to best utilise incomplete observational data of contact netw ....Managing infectious disease through partial wildlife social networks. This project aims to investigate the dynamics of the spread of infectious disease in wildlife, derived from incomplete information about contact networks. Infectious diseases in wildlife are difficult to track and control, because it is not feasible to monitor each individual in a population and know the contact network for a population. The project will create ways to best utilise incomplete observational data of contact networks to develop robust predictions of disease spread and population fate, and to reliably predict the outcomes of management interventions. These robust prediction methods will provide better insights for conservation of Australian wildlife.Read moreRead less