Humans are capable of immense precision, flexibitlity and adaptability in their physical interaction with the world. A whole-brain level of understanding of visuomotor learning, necessary to progress the development of treatments for motor-related diseases and disorders, remains elusive. Models derived from control systems engineering are emerging as fruitful means by which to conceptualise the visuomotor system and its pathologies. This study aims to investigate dynamic activity in the human brain during viuomotor learning using control system models, observed via mutimodal functional MRI. It is predicted that these combined techniques will significantly advance methods to uncover adaptive networks and connections in the brain.
|Effective start/end date||1/01/09 → 30/09/13|
- Australian Research Council (ARC): AUD97,019.00