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Brain mechanisms for coordinating with others through sound. Distinguishing between sounds produced by self and others is critical for interpersonal coordination and communication through speech and music. This project employs a novel dual-brain electrophysiological technique with tagged audio signals to elucidate how the human brain achieves this distinction, and when and why it cannot. Expected outcomes include new knowledge on the neurophysiological mechanisms that support self-other processi ....Brain mechanisms for coordinating with others through sound. Distinguishing between sounds produced by self and others is critical for interpersonal coordination and communication through speech and music. This project employs a novel dual-brain electrophysiological technique with tagged audio signals to elucidate how the human brain achieves this distinction, and when and why it cannot. Expected outcomes include new knowledge on the neurophysiological mechanisms that support self-other processing, and the acoustic conditions and behavioural strategies that facilitate their operation. These outcomes should ultimately have applied benefits for improving interpersonal coordination and social interaction, especially in digital environments and clinical populations with atypical self-other processing.Read moreRead less
Tracking the Flow of Perceptual Information Through Decision Networks. The choices we make define our lives. Despite exciting progress in neuroscience, we still don’t know how the inner workings of the brain give rise to simple decisions. This project brings together experts from diverse domains of computational neuroscience to investigate how our brains turn perceptual information into action. Together, we will develop new methods to track information flow through the brain during the decision ....Tracking the Flow of Perceptual Information Through Decision Networks. The choices we make define our lives. Despite exciting progress in neuroscience, we still don’t know how the inner workings of the brain give rise to simple decisions. This project brings together experts from diverse domains of computational neuroscience to investigate how our brains turn perceptual information into action. Together, we will develop new methods to track information flow through the brain during the decision making process. By doing so, we will develop a world-leading model of how the brain makes decisions, and also provide the broader scientific community with a set of exciting new tools for studying information processing in the brain.Read moreRead less
Understanding biological pathways underlying social behaviour in humans. This project aims to show for the first time how oxytocin interacts with neural social and reward pathways to guide social behaviour. Oxytocin is a natural neuropeptide and hormone that has a critical role in the regulation of social behaviour across mammalian species. In animals, direct evidence demonstrates how endogenous and exogenous oxytocin interacts with social and reward neural pathways to alter social behaviour, in ....Understanding biological pathways underlying social behaviour in humans. This project aims to show for the first time how oxytocin interacts with neural social and reward pathways to guide social behaviour. Oxytocin is a natural neuropeptide and hormone that has a critical role in the regulation of social behaviour across mammalian species. In animals, direct evidence demonstrates how endogenous and exogenous oxytocin interacts with social and reward neural pathways to alter social behaviour, including social recognition, relationship formation, and long-term bonds. The project intends to use radio-labelling techniques in combination with positron emission tomography to track oxytocin and show what regions of the brain oxytocin impacts to then influence social cognition and behaviour in humans.Read moreRead less
Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance witho ....Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance without accessing expensive test labels and improvements to system generalisation. This should provide significant benefits for computer vision applications that currently require expensive labelling, and commercial and economic benefits across sectors such as transportation, security and manufacturing.Read moreRead less
Effects of audio-visual rhythmic stimulation on motor functioning. This project aims to determine how the human capacity for entrainment contributes to the development and modification of motor functions through passive perception. Human movements are spontaneously attracted to auditory and visual environmental rhythms. The intended outcome is knowledge about short and long-term effects of entrainment on spontaneous cerebral, muscular and behavioural motor activity, and how auditory rhythms comb ....Effects of audio-visual rhythmic stimulation on motor functioning. This project aims to determine how the human capacity for entrainment contributes to the development and modification of motor functions through passive perception. Human movements are spontaneously attracted to auditory and visual environmental rhythms. The intended outcome is knowledge about short and long-term effects of entrainment on spontaneous cerebral, muscular and behavioural motor activity, and how auditory rhythms combined with visual depictions of human movement modulate these effects. This research should advance the understanding of perception and action links, ultimately opening pathways for training patients with reduced movement capacities and developing health technologies.Read moreRead less
Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understan ....Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understanding of how decision-making evolves in healthy ageing, and a tool based on genetic scores and computational modelling to predict an individual's trajectory of cognitive function. This could help identify individuals who are at risk for cognitive decline, which could then inform better interventions.Read moreRead less
In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases ....In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.Read moreRead less