{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/FT250100563"},"data":{"type":"grant-details","id":"FT250100563","attributes":{"code":"FT250100563","administering-organisation":"Monash University","announcement-administering-organisation":"Monash University","scheme-name":"ARC Future Fellowships","grant-status":"Active","funding-commencement-year":2025,"years-funded":4,"project-start-date":"2026-01-01","anticipated-end-date":"2029-12-31","grant-summary":"Multi-modal generative models of brain function. This project will advance brain mapping by developing innovative models to understand how different brain regions interact to process information. Current techniques, such as functional magnetic resonance imaging, offer limited insights as they provide only indirect measurements of brain activity. Using a combination of imaging methods—functional magnetic resonance imaging, diffusion imaging, and electromagnetic recordings—this project will create models to measure brain connectivity with greater accuracy. Its goals are to integrate anatomical data with functional imaging, enhance mapping through electrical activity data, and validate these models by predicting behaviours, offering new insights into brain function and connectivity.","funding-current":1313073.00,"funding-at-announcement":1285285,"investigators-current":[{"title":"Prof","firstName":"Adeel","familyName":"Razi","roleName":"Future Fellowship","roleCode":"FT","isFellowship":true,"orcidIdentifier":"0000-0002-0779-9439 "}],"investigators-at-announcement":[{"title":"Prof","firstName":"Adeel","familyName":"Razi","roleName":"Future Fellowship","roleCode":"FT","isFellowship":true,"orcidIdentifier":"0000-0002-0779-9439 "}],"organisations-current":[{"organisationName":"Monash University","roleName":"Administering Organisation","state":"VIC"}],"organisations-at-announcement":[{"organisationName":"Monash University","roleName":"Administering Organisation","state":"VIC"}],"field-of-research":[{"isPrimary":true,"code":"5202","name":"Biological Psychology","type":"FOR20"},{"isPrimary":false,"code":"520203","name":"Cognitive Neuroscience","type":"FOR20"}],"socio-economic-objective":[{"code":"280115","name":"Expanding Knowledge In the Information and Computing Sciences","type":"SEO20"},{"code":"280121","name":"Expanding Knowledge In Psychology","type":"SEO20"}],"international-collaboration":["England","Switzerland"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"Australia is globally renowned for its brain imaging expertise, yet the potential of computational modelling in this field remains underutilized. This Fellowship will bridge this gap, positioning Australian neuroscience at the forefront of computational methods to decode brain function. The project will deepen our understanding of how brain regions interact across various spatial and temporal scales, with outcomes that extend well beyond academic discovery. We aim to partner with industry and technology sectors to drive innovation in neural-inspired algorithms, supporting the development of cognitive robotics and advanced brain-machine interfaces, thereby contributing to Australia’s economic and technological growth. By sharing open-access tools and engaging with policymakers and industrial partners, we will ensure the research is accessible and relevant to those who can apply it. This project will also strengthen Australia’s role in predictive analytics, supporting early identification of psychological challenges, while fostering a collaborative ecosystem for future breakthroughs in brain research. In summary, this Fellowship will propel Australia’s brain research capacity forward, positioning it as a leader in global scientific discovery and innovation."}}}