Early stress experiences and stress resilience in pigs. Animal stress has substantial implications on animal productivity, health and welfare of farm animals and thus farm profitability. This project aims to examine the stress resilience in pigs. Modern pig farming is a major source of food, providing substantial nutritional, social and economic benefits in Australia and worldwide. Animal welfare is of increasing concern to the public, consumers and pork producers, and stress vulnerability is an ....Early stress experiences and stress resilience in pigs. Animal stress has substantial implications on animal productivity, health and welfare of farm animals and thus farm profitability. This project aims to examine the stress resilience in pigs. Modern pig farming is a major source of food, providing substantial nutritional, social and economic benefits in Australia and worldwide. Animal welfare is of increasing concern to the public, consumers and pork producers, and stress vulnerability is an animal health and production problem in the life of the commercial pig. This project will generate new knowledge on early life management to endow stress resilience in pigs, with expected benefits for animal welfare, farm productivity and profitability.Read moreRead less
Action selection in insects: how a microbrain knows what to do. Identifying what to do demands integrating sensory information with our current physiological state and memory of past experience to select the best possible action. This is the action selection problem. Our project aims to discover how tiny insect brains solve this fundamental problem. The project combines neural recordings from animals exploring virtual reality, behavioural analyses and computational modelling. The expected outco ....Action selection in insects: how a microbrain knows what to do. Identifying what to do demands integrating sensory information with our current physiological state and memory of past experience to select the best possible action. This is the action selection problem. Our project aims to discover how tiny insect brains solve this fundamental problem. The project combines neural recordings from animals exploring virtual reality, behavioural analyses and computational modelling. The expected outcome is a new understanding of the brain as an effective behavioural control system. This will benefit systems and comparative neuroscience. Our findings may also inspire solutions for robotic systems that must operate autonomously in remote and challenging environments such as disaster relief or exploration.Read moreRead less
Life or death decisions: making fast, accurate choices in a complex world. This project aims to understand how hoverflies and honey bees, with tiny brains and sensory systems, excel at making fast and accurate decisions while on the fly in a complex world. The project will combine brain recordings with flight analyses and computational modelling to generate new knowledge on how animals may utilize movements to simplify information sampling. Expected outcomes are a novel, comprehensive understand ....Life or death decisions: making fast, accurate choices in a complex world. This project aims to understand how hoverflies and honey bees, with tiny brains and sensory systems, excel at making fast and accurate decisions while on the fly in a complex world. The project will combine brain recordings with flight analyses and computational modelling to generate new knowledge on how animals may utilize movements to simplify information sampling. Expected outcomes are a novel, comprehensive understanding of how animal movements could enhance decision speed and accuracy. This should provide substantial benefits for neuroscience, and for enhancing performance of autonomous robotic systems operating in challenging environments, such as disaster relief, mining and remote exploration. Read moreRead less
Improving the effectiveness of electronic deterrents to prevent shark bites. Existing commercial electronic shark deterrents, which attempt to deter sharks by emitting strong electric pulses into the water, are either ineffective, have limited deterrent range, or have only been tested with great white sharks. Moreover, uncertainty regarding the way in which pulsed electric fields deter sharks, and whether they may even attract sharks, hampers the development of improved deterrents. This project ....Improving the effectiveness of electronic deterrents to prevent shark bites. Existing commercial electronic shark deterrents, which attempt to deter sharks by emitting strong electric pulses into the water, are either ineffective, have limited deterrent range, or have only been tested with great white sharks. Moreover, uncertainty regarding the way in which pulsed electric fields deter sharks, and whether they may even attract sharks, hampers the development of improved deterrents. This project aims to investigate the effects of pulsed electric fields on shark physiology and behaviour, develop novel electronic pulse waveforms that maximise the deterrent effect on a range of shark species, and deliver innovative improvements in electronic shark deterrent technology that will save the lives of humans and sharks.Read moreRead less
Pair bonding: is it all in the brain? This project aims to understand the interaction between classic pair bonding neural circuits, parasites, and the immune system in sleepy lizards. Social bonds are a cornerstone of human societies, especially true of the pair bond and this project expects to generate knowledge to help understand why healthy adult pair bonds are the single best predictor of longevity in humans. The expected outcomes of this project are to reveal the mechanistic basis of pair b ....Pair bonding: is it all in the brain? This project aims to understand the interaction between classic pair bonding neural circuits, parasites, and the immune system in sleepy lizards. Social bonds are a cornerstone of human societies, especially true of the pair bond and this project expects to generate knowledge to help understand why healthy adult pair bonds are the single best predictor of longevity in humans. The expected outcomes of this project are to reveal the mechanistic basis of pair bonding by identifying the brain regions, cell types and neurochemicals that promote pair bonding behaviour — for the first time in a wild animal. This project should provide significant benefits by increasing our knowledge of how pair bonds promote wellness.Read moreRead less
Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an in ....Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an increased understanding of neural mechanisms underlying sensory selectivity, the development of novel techniques, and enhanced capacity for interdisciplinary collaborations. The project will provide significant knowledge as the developed biomimetic algorithms should be applicable for increased performance in drones or other unmanned vehicles.Read moreRead less
Using facial recognition for bird conservation management. Long-term monitoring of reintroduced species is essential to measure conservation success. This project aims to use a novel and non-invasive facial recognition software developed by our research group to measure the recovery of a vulnerable and native bird species following introduction outside of its historic range. This project expects to generate new knowledge in the field of animal monitoring. Expected outcomes of this project includ ....Using facial recognition for bird conservation management. Long-term monitoring of reintroduced species is essential to measure conservation success. This project aims to use a novel and non-invasive facial recognition software developed by our research group to measure the recovery of a vulnerable and native bird species following introduction outside of its historic range. This project expects to generate new knowledge in the field of animal monitoring. Expected outcomes of this project include improved ability to track individuals and their persistence to better inform conservation priorities. This should provide significant benefits to researchers, government agencies and industries to improve conservation planning as well as the outcomes of reintroductions and other translocations.Read moreRead less
Measuring pain in livestock: mechanisms, objective biomarkers and treatments. This project aims to create an objective blood test to measure pain in livestock, and to create a new drug treatment for persistent pain by targeting the immunology of the brain and spinal cord. This project expects to generate new knowledge of the involvement of the neuro-immune system in the creation and maintenance of persistent pain and how this can be quantified through the innovative use of peripheral blood tests ....Measuring pain in livestock: mechanisms, objective biomarkers and treatments. This project aims to create an objective blood test to measure pain in livestock, and to create a new drug treatment for persistent pain by targeting the immunology of the brain and spinal cord. This project expects to generate new knowledge of the involvement of the neuro-immune system in the creation and maintenance of persistent pain and how this can be quantified through the innovative use of peripheral blood tests. Expected outcomes of this project include a blood test capable of quantifying the extent of current pain experience, and a cumulative life measure of pain an animal has experienced. This should provide significant benefits to the Australian livestock industry by improving best practice.Read moreRead less
How to make antibiotics in pig feed redundant, naturally. Antimicrobial resistance has become a major issue in human and veterinary medicine being partially caused by the use of in-feed antimicrobials in farm animals. This project aims to completely eliminate antimicrobials from piglet feeds. The key differential approach is based on helping the physiology of the animal rather than testing interventions against bacteria. The project will consist of developing a novel nutritional strategy of natu ....How to make antibiotics in pig feed redundant, naturally. Antimicrobial resistance has become a major issue in human and veterinary medicine being partially caused by the use of in-feed antimicrobials in farm animals. This project aims to completely eliminate antimicrobials from piglet feeds. The key differential approach is based on helping the physiology of the animal rather than testing interventions against bacteria. The project will consist of developing a novel nutritional strategy of naturally (through maternal conditioning) boosting the natural appetite and the capacity to digest in piglets early in life. The anticipated outcome is that the new peri-natal program will result in minimal bacterial proliferation and diarrhoea thus, negating the need for in-feed antimicrobials in piglets. Read moreRead less
Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk mat ....Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk matrix. Recorded heart rate and ECG data will also be analysed using artificial intelligence to detect early evidence of the development of cardiac arrhythmias. The system will improve racehorse welfare, providing a simple interface to warn trainers when risk of injury becomes high, in order to prevent catastrophic breakdown.Read moreRead less