Functional magnetic resonance imaging: Decoding the palimpsest. This project aims to model the dynamics of functional magnetic resonance imaging (fMRI) to image new physiology and attain higher resolution. This will enable new aspects of brain dynamics to be imaged, achieving higher resolution and improving interpretation. This project is expected to improve the use and power of fMRI, unlock new avenues for probing brain function and save experimental costs. This will have many uses in neuroscie ....Functional magnetic resonance imaging: Decoding the palimpsest. This project aims to model the dynamics of functional magnetic resonance imaging (fMRI) to image new physiology and attain higher resolution. This will enable new aspects of brain dynamics to be imaged, achieving higher resolution and improving interpretation. This project is expected to improve the use and power of fMRI, unlock new avenues for probing brain function and save experimental costs. This will have many uses in neuroscience, brain imaging technology and fMRI analysis software.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL140100025
Funder
Australian Research Council
Funding Amount
$2,617,462.00
Summary
The physical brain: emergent, multiscale, nonlinear, and critical dynamics. The physical brain: emergent, multiscale, nonlinear, and critical dynamics. This project aims to transform the understanding of the structure and function of the brain as a complex physical system. It aims to reveal and unify new aspects of information processing, transitions in conscious state, and nonlinear brain interactions by translating and applying concepts and methods from physics and mathematics. It will treat b ....The physical brain: emergent, multiscale, nonlinear, and critical dynamics. The physical brain: emergent, multiscale, nonlinear, and critical dynamics. This project aims to transform the understanding of the structure and function of the brain as a complex physical system. It aims to reveal and unify new aspects of information processing, transitions in conscious state, and nonlinear brain interactions by translating and applying concepts and methods from physics and mathematics. It will treat brain structure and dynamics together to address emergent phenomena like waves and patterns on multiple scales, treating waves as equal participants alongside neurons. Innovative predictions of brain phenomena will aim to be verified against data and used to understand brain networks, dynamics, and the physical phenomena underlying information processing and consciousness.Read moreRead less
Spatiotemporal dynamics and analysis of functional magnetic resonance imaging. Functional magnetic resonance imaging (fMRI) produces signals generated by brain activity in fine detail, but links between activity and images are poorly understood, posing a barrier to full use of the technology. Predictions from our new theory of such links will be made, tested experimentally and used to improve fMRI and discover new phenomena.