A Wireless Electric Nerve-guide For Peripheral Nerve Repair
Funder
National Health and Medical Research Council
Funding Amount
$805,064.00
Summary
We aim to deliver a radical new precision intervention for peripheral nerve repair to improve the lives of people with peripheral nerve damage. Drawing from our recently awarded work on 'electric neural tissue engineering', we will pre-clinically test our invention of a unique clinically-amenable electric nerve-guide (e-nerve-guide), designed to act as a protective nerve conduit and wirelessly electrically-stimulate damaged nerves for their regeneration and restoration of function.
Unravelling The Behavioural And Brain Mechanisms Of Compulsive Disorders, And New Ways To Treat Them
Funder
National Health and Medical Research Council
Funding Amount
$635,076.00
Summary
Disorders of compulsion, such as obsessive-compulsive disorder and substance use disorder, are chronic, debilitating, and present a significant cost to the individual and to society. Together, these disorders affect more than 10% of the population. Moreover, 40-60% of these individuals are resistant to current treatment. The current project is aimed at improving the preclinical research underlying our understanding the behavioural and brain mechanisms of such disorders and how to treat them.
Modifiable Risks And Interventions For Cognitive Decline, Depression And Dementia In Older People
Funder
National Health and Medical Research Council
Funding Amount
$430,055.00
Summary
This research proposal will explore the modifiable risk factors for cognitive decline (ie. changes in memory and thinking functions) in older people. It will examine the pertinence of critical contributors to glial-neuronal networks including depression, cardiovascular disease, sleep-wake systems, mental and physical exercise, inflammatory processes and diet, as well as test interventions that target these risk factors. It will use sophisticated brain scanning methods to examine which factors pr ....This research proposal will explore the modifiable risk factors for cognitive decline (ie. changes in memory and thinking functions) in older people. It will examine the pertinence of critical contributors to glial-neuronal networks including depression, cardiovascular disease, sleep-wake systems, mental and physical exercise, inflammatory processes and diet, as well as test interventions that target these risk factors. It will use sophisticated brain scanning methods to examine which factors promote neuroplasticity.Read moreRead less
BioPolymer Fibres For Remodelling Mdx And Damaged Muscle
Funder
National Health and Medical Research Council
Funding Amount
$527,286.00
Summary
This project aims to generate new, smart polymers for use in re-building muscle that has degenerated due to disease and-or trauma damage. The merger of smart polymers with biologically based solutions and cells has great potential to improve outcomes of treatments of damaged muscle in diseases such as Muscular Dystrophy.
Mechanisms of Recovery after Extinction of Conditioned Behaviour. Old habits die hard and may never die at all. My previous ARC-funded research has revealed that extinguished learning can be recovered rapidly and in unsuspected ways. This project is aimed at building a neural network to explain how old learning can recovered. In practical terms, rapid recovery has both benefits, e.g., our ability to regain old skills with brief refresher training, and costs, e.g., relapse after therapies for anx ....Mechanisms of Recovery after Extinction of Conditioned Behaviour. Old habits die hard and may never die at all. My previous ARC-funded research has revealed that extinguished learning can be recovered rapidly and in unsuspected ways. This project is aimed at building a neural network to explain how old learning can recovered. In practical terms, rapid recovery has both benefits, e.g., our ability to regain old skills with brief refresher training, and costs, e.g., relapse after therapies for anxiety disorders and substance abuse. In theoretical terms, understanding recovery in biological systems will inform research concerning both the neural basis of memory and the design of robots.Read moreRead less
Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results ....Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results will test the generality of principles that have been developed in studies of female mate choice and extend these ideas to address intra-sexual selection operating through opponent assessment.Read moreRead less
Functional Contribution Of Fetal Microchimeric Cells In Transgenic Models Of Maternal Tissue Repair In And After Pregnancy
Funder
National Health and Medical Research Council
Funding Amount
$542,462.00
Summary
Fetal stem cells cross into the mother during pregnancy and persist lifelong in her tissues. To determine whether helpful or harmful, we will study how these cells contribute to healing both after acute injury and in chronic genetic models like brittle-bone disease and muscular dystrophy. This research will inform long-term consequences of pregnancy, important for women's health and longevity, and help develop a promising form of stem cell therapy.
Behaviour Bootstrapping for Ad Hoc, Heterogeneous Robot Swarms. This project aims to develop algorithms to permit groups of robots to evolve coordinated, collective, swarm behaviours. Groups of robots will be conceptualised as developmental swarm organisms with an initially limited set of behaviours, but equipped with structures and processes to permit them to evolve new behaviours. This project expects to deliver the next generation of computational intelligence technologies to enable humans to ....Behaviour Bootstrapping for Ad Hoc, Heterogeneous Robot Swarms. This project aims to develop algorithms to permit groups of robots to evolve coordinated, collective, swarm behaviours. Groups of robots will be conceptualised as developmental swarm organisms with an initially limited set of behaviours, but equipped with structures and processes to permit them to evolve new behaviours. This project expects to deliver the next generation of computational intelligence technologies to enable humans to harness large groups of robots for new kinds of transport and inspection tasks in smart cities, smart farming and defence. The expected outcomes of the project include new software frameworks for distributed developmental learning, extending developmental robotics to evolutionary robot swarms. Read moreRead less
Machine education for trusted multi-skilled evolutionary learners . Transforming data assets into organisational knowledge assets sits in the hands of a few, highly specialised, data scientists. The aim of this research is to design educational instruments to support non-experts to teach artificial intelligence (AI) systems in a similar way to educating human teachers to teach human learners. The significance of the project lies in affording the wider smart, but not necessarily AI expert, commun ....Machine education for trusted multi-skilled evolutionary learners . Transforming data assets into organisational knowledge assets sits in the hands of a few, highly specialised, data scientists. The aim of this research is to design educational instruments to support non-experts to teach artificial intelligence (AI) systems in a similar way to educating human teachers to teach human learners. The significance of the project lies in affording the wider smart, but not necessarily AI expert, community the ability to contribute to growing our knowledge-based society in a safe, transparent and trustworthy manner. Outcomes will include innovative instruments to teach machines, novel knowledge creation, trusted and transparent AI systems, and a new generation of human teachers specialised in educating AI systems.Read moreRead less