Control Of Prosthetic Limbs From Decoded Brain Signals
Funder
National Health and Medical Research Council
Funding Amount
$895,832.00
Summary
This research will restore mobility to patients who suffer from paralysis. We aim to create a device, known as a brain-machine interface, which is an artificial communication path from the brain that bypasses an injury, such as a damaged spinal cord or stroke. The interface will decode a user’s intent and act upon it. Decoders will use physiological principals and state-of-the-art machine learning methods. We will test a user’s ability to control an artificial limb using decoded brain activity.
Dissecting Brain Network Ageing Using Whole Brain Imaging
Funder
National Health and Medical Research Council
Funding Amount
$692,964.00
Summary
In this proposal, we will make the first attempt to map the whole brain activity change during ageing using a series of state-of-the-art techniques. We will also identify genetic and pharmacological interventions that improve brain network function during ageing. Outcomes from this research will provide an unprecedented understanding of functional ageing within the brain and identify therapeutic interventions to prevent this process.