Discovery Early Career Researcher Award - Grant ID: DE170101514
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
The control of neuroplasticity in the brain. This project aims to determine how neuroplasticity – the brain’s ability to remodel and make new circuits – is controlled in both excitatory and inhibitory neurons. This capacity, vital for all cognitive functions, diminishes as people age. It is imperative to determine neuroplasticity’s mechanisms and how and why they change, but it is not known how both excitatory and inhibitory neurons contribute to neuroplasticity and how these dynamic alterations ....The control of neuroplasticity in the brain. This project aims to determine how neuroplasticity – the brain’s ability to remodel and make new circuits – is controlled in both excitatory and inhibitory neurons. This capacity, vital for all cognitive functions, diminishes as people age. It is imperative to determine neuroplasticity’s mechanisms and how and why they change, but it is not known how both excitatory and inhibitory neurons contribute to neuroplasticity and how these dynamic alterations are controlled. Understanding neuroplasticity is vital for learning, memory and healthy ageing throughout life.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100017
Funder
Australian Research Council
Funding Amount
$394,800.00
Summary
Adaptive Optimisation of Complex Combinatorial Problems. One of the most common problems faced by planners, whether in industry or government, is optimisation, finding the optimal solution to a problem. Even a one per cent improvement in a solution can make a difference of millions of dollars in some cases. Traditionally optimisation problems are solved by analytic means or exact optimisation methods. Today, however, many optimisation problems involve complex combinatorial systems that make such ....Adaptive Optimisation of Complex Combinatorial Problems. One of the most common problems faced by planners, whether in industry or government, is optimisation, finding the optimal solution to a problem. Even a one per cent improvement in a solution can make a difference of millions of dollars in some cases. Traditionally optimisation problems are solved by analytic means or exact optimisation methods. Today, however, many optimisation problems involve complex combinatorial systems that make such traditional approaches unsuitable or intractable. This project aims to assist researchers and practitioners in solving complex combinatorial optimisation problems by adapting the optimisation strategy to the problem being solved, based on problem features such as search space difficulty. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101708
Funder
Australian Research Council
Funding Amount
$406,821.00
Summary
New directions for using brain stimulation to understand brain function. Neuroplasticity is of fundamental importance to brain function as it mediates learning, memory and development. Deficits in neuroplasticity are observed in a number of neurological conditions and thought to contribute to cognitive dysfunction. This study is designed to develop a better understanding of the neurochemical and genetic factors impacting on neuroplasticity. In addition, it aims to (i) upregulate brain connectivi ....New directions for using brain stimulation to understand brain function. Neuroplasticity is of fundamental importance to brain function as it mediates learning, memory and development. Deficits in neuroplasticity are observed in a number of neurological conditions and thought to contribute to cognitive dysfunction. This study is designed to develop a better understanding of the neurochemical and genetic factors impacting on neuroplasticity. In addition, it aims to (i) upregulate brain connectivity in a precise and targeted manner, (ii) elicit functional increases in cognitive performance and (iii) demonstrate the relationship between functional connectivity and cognition. Outcomes include a better understanding of plasticity in the brain & a enhanced capacity to examine and modulate brain plasticity.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100915
Funder
Australian Research Council
Funding Amount
$345,000.00
Summary
Uncovering the dynamics of object selection from movement trajectories. This project aims to establish the dynamic properties of selection for perception and action, and develop a computational model of object selection across perception and action. Everyday actions depend on isolating the relevant object (perceptual selection) and appropriate grasp (action selection). It was long thought that distinct and sequential stages of processing carried out perceptual and action selection, but recent fi ....Uncovering the dynamics of object selection from movement trajectories. This project aims to establish the dynamic properties of selection for perception and action, and develop a computational model of object selection across perception and action. Everyday actions depend on isolating the relevant object (perceptual selection) and appropriate grasp (action selection). It was long thought that distinct and sequential stages of processing carried out perceptual and action selection, but recent findings suggested that a single mechanism may subserve both. Through a two-pronged approach including rigorous empirical work and computational modelling, this project aims to study this fundamental aspect of human cognition.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100868
Funder
Australian Research Council
Funding Amount
$336,284.00
Summary
Neural mechanisms of inhibitory control of human speech in stutterers and non-stutterers. Stopping oneself from speaking is a crucial communication function. In people who stutter, a disorder of this function causes their debilitating speech problem. This project will use cutting edge neuroimaging techniques to reveal how the brain stops speech in stutterers and in fluent speakers.
Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101064
Funder
Australian Research Council
Funding Amount
$373,536.00
Summary
How musical rhythms entrain the human brain. This project is designed to investigate the brain mechanisms that allow humans to feel the beat in musical rhythms. Although such activity facilitates pro-social and therapeutic effects, the underlying brain mechanisms remain unknown. The project intends to examine the interface between musical rhythms, behaviour and brain activity to increase knowledge on a fundamental process of brain function: the dynamic coupling between perception and body moveme ....How musical rhythms entrain the human brain. This project is designed to investigate the brain mechanisms that allow humans to feel the beat in musical rhythms. Although such activity facilitates pro-social and therapeutic effects, the underlying brain mechanisms remain unknown. The project intends to examine the interface between musical rhythms, behaviour and brain activity to increase knowledge on a fundamental process of brain function: the dynamic coupling between perception and body movement. The project aims to provide insight into how psychological, environmental and neural mechanisms affect entrainment to rhythmic events and inform practices for education and clinical rehabilitation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101290
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Age-related reorganisation of cortical networks subserving memory retrieval. This research project will use brain imaging to understand how the brain reorganises working memory when it ages. It will provide a framework for understanding age-related memory decline in the brain, which will in turn provide key information for understanding memory difficulties in clinical populations.
Discovery Early Career Researcher Award - Grant ID: DE200100063
Funder
Australian Research Council
Funding Amount
$394,398.00
Summary
Nonmonotone Algorithms in Operator Splitting, Optimisation and Data Science. This project aims to develop the mathematical foundations for the analysis and development of optimisation algorithms used in data science. Despite their now ubiquitous use, machine learning software packages routinely rely on a number of algorithms from mathematical optimisation which are not properly understood. By moving beyond the traditional realms of Fejér monotone algorithms, this project expects to develop the m ....Nonmonotone Algorithms in Operator Splitting, Optimisation and Data Science. This project aims to develop the mathematical foundations for the analysis and development of optimisation algorithms used in data science. Despite their now ubiquitous use, machine learning software packages routinely rely on a number of algorithms from mathematical optimisation which are not properly understood. By moving beyond the traditional realms of Fejér monotone algorithms, this project expects to develop the mathematical theory required to rigorously justify the use of such algorithms and thereby ensure the integrity of the decision tools they produce. This mathematical framework is also expected to produce new algorithms for optimisation which benefit consumers of data science such as the health-care and cybersecurity sectors.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100850
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Dynamic adaptive software configuration. The aim of this project is to use computational intelligence in software engineering processes to achieve self-optimising products. Many mobile device users bemoan inadequate battery life, and device size is largely determined by the battery. In addition, information and communications technology uses six per cent of the global electricity production. The expected outputs of this project will be packages of optimisation components that software engineers ....Dynamic adaptive software configuration. The aim of this project is to use computational intelligence in software engineering processes to achieve self-optimising products. Many mobile device users bemoan inadequate battery life, and device size is largely determined by the battery. In addition, information and communications technology uses six per cent of the global electricity production. The expected outputs of this project will be packages of optimisation components that software engineers can incorporate into next generation products: the products analyse their collected usage data, perform what-if analyses, and optimise their configurations accordingly for the next usage period. Hence, the products may respond faster, be more reliable, and consume less energy.Read moreRead less