Behaviour of large networks of neurons in a functioning organ: a realistic computer-based model of the enteric nervous system. The organisation of the gut nervous system is well understood, but how nerve cells cooperate to control gut movements and secretions are matters of conjecture. We will test these conjectures by simulating the behaviour of the gut nervous system using an anatomically and physiologically realistic computer model to predict the way the gut responds to specific stimuli and t ....Behaviour of large networks of neurons in a functioning organ: a realistic computer-based model of the enteric nervous system. The organisation of the gut nervous system is well understood, but how nerve cells cooperate to control gut movements and secretions are matters of conjecture. We will test these conjectures by simulating the behaviour of the gut nervous system using an anatomically and physiologically realistic computer model to predict the way the gut responds to specific stimuli and test these predictions using novel methods for recording gut movements and nervous activity. This will provide the first complete description of how a mammalian nervous system generates complex behaviours and will provide substantial pointers to how other nervous systems achieve similar tasks.Read moreRead less
Gain modulation and stability in biological neural systems. This project is relevant to the National Research Priority area of Frontier Technologies and addresses fundamental cross-disciplinary issues of control and information processing in large, distributed neural systems that are at the cutting edge of intelligent processing systems. Applications are in rapidly growing fields of robotics, machine learning, adaptive control and intelligent systems, all with applications in diverse areas of ec ....Gain modulation and stability in biological neural systems. This project is relevant to the National Research Priority area of Frontier Technologies and addresses fundamental cross-disciplinary issues of control and information processing in large, distributed neural systems that are at the cutting edge of intelligent processing systems. Applications are in rapidly growing fields of robotics, machine learning, adaptive control and intelligent systems, all with applications in diverse areas of economic importance. Applications to cochlear implant speech processing will provide benefit for the hearing impaired. The project will provide students with training at an international level within Australia, thus helping ensure Australia maintains and extends its science and technology base into the futureRead moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0882979
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
Australian High Performance Computational Structural Biology Facility. This work will have major outcomes for structural biology research at a national and international level. For structure determination, the ability to perform massively parallel calculations will afford a timesaving of weeks to months. Further, significant insights will be gained into the use of high-performance grid computing in protein structure determination by X-ray crystallography. This knowledge has considerable impact ....Australian High Performance Computational Structural Biology Facility. This work will have major outcomes for structural biology research at a national and international level. For structure determination, the ability to perform massively parallel calculations will afford a timesaving of weeks to months. Further, significant insights will be gained into the use of high-performance grid computing in protein structure determination by X-ray crystallography. This knowledge has considerable impact on our ability to undertake high quality structural biology research - a key area in the majority of biological research programs. Software developed will be made available to academic researchers free of charge.Read moreRead less
Understanding cortical processing: Neuronal activity and learning in recurrently connected networks. This project addresses fundamental cross-disciplinary issues of information processing and control in large-scale biological neural systems. This is an area of research that is at the cutting edge of intelligent processing systems. An understanding of these mechanisms would have considerable implications in areas that span a range of complex biological and artificial neural systems, including the ....Understanding cortical processing: Neuronal activity and learning in recurrently connected networks. This project addresses fundamental cross-disciplinary issues of information processing and control in large-scale biological neural systems. This is an area of research that is at the cutting edge of intelligent processing systems. An understanding of these mechanisms would have considerable implications in areas that span a range of complex biological and artificial neural systems, including the rapidly growing fields of robotics, machine learning, and adaptive control, all with applications in diverse areas of economic importance. The project will provide students with training at an international level within Australia, thus helping ensure Australia maintains and extends its science and technology base.Read moreRead less
Emergence of robust, stable structures via computation within natural networks. An ever-increasing challenge for modern society is the sheer complexity of vast infrastructures. Unexpected, and sometimes catastrophic, behaviour often emerges from interactions between elements of large systems. As a result, highly complex systems such as the Internet, international finance markets, and power grids are highly susceptible to costly problems such as cascading failures, inefficiency, and critical sens ....Emergence of robust, stable structures via computation within natural networks. An ever-increasing challenge for modern society is the sheer complexity of vast infrastructures. Unexpected, and sometimes catastrophic, behaviour often emerges from interactions between elements of large systems. As a result, highly complex systems such as the Internet, international finance markets, and power grids are highly susceptible to costly problems such as cascading failures, inefficiency, and critical sensitivity. High-tech industries, such as biotechnology and information networking, also face problems in coordinating swarms of interacting agents. This project will contribute to solving such problems by identifying and adapting solutions from nature.Read moreRead less
Dual phase evolution in networks. A grand challenge for modern society is the sheer complexity of vast networks arising from organizations and infrastructures. Unexpected, sometimes catastrophic, behaviour often emerges from interactions within such systems. As a result, the Internet, financial markets, power grids and other vital infrastructures are susceptible to costly problems such as cascading failures, inefficiency, and unpredictability. High-tech industries, such as biotechnology and info ....Dual phase evolution in networks. A grand challenge for modern society is the sheer complexity of vast networks arising from organizations and infrastructures. Unexpected, sometimes catastrophic, behaviour often emerges from interactions within such systems. As a result, the Internet, financial markets, power grids and other vital infrastructures are susceptible to costly problems such as cascading failures, inefficiency, and unpredictability. High-tech industries, such as biotechnology and information networking, face problems in coordinating networks of interacting agents. This project will expand the horizon of complex systems by deriving the design principles underpinning stable and resilient network structures and validate these principles on real world networks.Read moreRead less
Intrinsically Unstructured Proteins (IUPs): NMR characterization, prediction, and application to malarial proteome. Determination of protein structures with longer DR by NMR will enrich the DR dataset and provide a deeper understanding of protein structure-function relationships and protein folding pathways. The proposal will also provide valuable information in the key applied area of target selection in structural biology. Not all current web services are freely accessible and available servi ....Intrinsically Unstructured Proteins (IUPs): NMR characterization, prediction, and application to malarial proteome. Determination of protein structures with longer DR by NMR will enrich the DR dataset and provide a deeper understanding of protein structure-function relationships and protein folding pathways. The proposal will also provide valuable information in the key applied area of target selection in structural biology. Not all current web services are freely accessible and available services can be improved further by using more reliable training dataset or more effective algorithms, development of a national DR predictor will help Australian structural biologists increase the success rate of structure determination and provide greater insight into a range of proteomes.Read moreRead less