Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in ha ....Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in hand motion. Expected outcomes include new evidence of mirror neurons and observation of predictive error signals in the motor cortex. This new knowledge paves the way towards improved computer-brain interface technology which is likely to create benefits through translation to applications such as artificial limb control.Read moreRead less
Image processing techniques for artificial human vision systems. Blindness affects millions of people worldwide and over 100,000 Australians. Our project supports quality of life improvements for them by developing image processing techniques necessary for artificial human vision systems: "bionic eyes". Our approach will extract the most visually informative content in a scene,allowing low resolution images to be generated which optimise usage of the limited number of eletrodes available in prot ....Image processing techniques for artificial human vision systems. Blindness affects millions of people worldwide and over 100,000 Australians. Our project supports quality of life improvements for them by developing image processing techniques necessary for artificial human vision systems: "bionic eyes". Our approach will extract the most visually informative content in a scene,allowing low resolution images to be generated which optimise usage of the limited number of eletrodes available in prototype bionic eye implants. Psychophysical tests presenting such modified images to normally sighted participants will verify the effectiveness of this approach. The techniques developed will provide a real-time image processing toolkit for visual protheses, with significant commercial and social benefits including enhancement of Australilia's neuroprostheses industry profile.Read moreRead less