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
Discovery Early Career Researcher Award - Grant ID: DE190100157
Funder
Australian Research Council
Funding Amount
$416,134.00
Summary
Involvement of the claustrum in coordinating brain circuits. This project aims to reveal how the claustrum coordinates information flow across other brain areas. The project will test the hypothesis that the Claustrum, a structure in the brain’s temporal lobe, coordinates the brains resting state networks. The project expects to characterise how the claustrum interacts with different networks, using a combination of anatomical, physiological and mathematical analysis techniques. The project expe ....Involvement of the claustrum in coordinating brain circuits. This project aims to reveal how the claustrum coordinates information flow across other brain areas. The project will test the hypothesis that the Claustrum, a structure in the brain’s temporal lobe, coordinates the brains resting state networks. The project expects to characterise how the claustrum interacts with different networks, using a combination of anatomical, physiological and mathematical analysis techniques. The project expects to advance knowledge about the function of one of the least understood parts of the brain. This will provide benefits that include new analysis techniques for integrative brain function, and may form the basis of future biotechnologies for modulating brain activity using neuroengineering or pharmacological approaches.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
Industrial Transformation Training Centres - Grant ID: IC170100030
Funder
Australian Research Council
Funding Amount
$4,133,659.00
Summary
ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students ....ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students and postdoctoral researchers. These researchers will lead the medical technology industry into a new era of data-driven personalised and precision medical devices and applications. The Centre will result in the development of capabilities in the core technologies of machine learning and the practical application of cognitive computing in the area of health.Read moreRead less
Building a visual world: how brain circuits create and use representations. This project aims to demonstrate the presence, computation, and use of an invariant representation for texture structure. The proposed approach is interdisciplinary and combines image analysis, electrophysiology, optogenetics and computational modelling.
Expected outcomes of this project include learning how neurons encode properties of natural images, defining a novel computational tool for analysis of textures, and ne ....Building a visual world: how brain circuits create and use representations. This project aims to demonstrate the presence, computation, and use of an invariant representation for texture structure. The proposed approach is interdisciplinary and combines image analysis, electrophysiology, optogenetics and computational modelling.
Expected outcomes of this project include learning how neurons encode properties of natural images, defining a novel computational tool for analysis of textures, and new knowledge of how multiple brain areas work together to represent the visual world. This should provide significant benefits for the development of artificial visual systems, and impact on brain research broadly by increasing the number of tools available to predict complex representations at the cellular level.Read moreRead less