Using real-time neurofeedback to enhance human sustained attention (2025-2027)
Abstract
The ability to sustain attention is crucial for a range of real-world endeavours, from classroom learning to medical diagnostics and air-traffic control. However, even highly experienced individuals exhibit attentional lapses, often with catastrophic consequences. Using a novel behavioural task and concurrent brain imaging, this project aims to use an artificial intelligence (AI) algorithm to identify patterns of brain activity that predict attentional lapses, and to implement a neurofeedback protocol to train individuals to recognise impending lapses before they occur. This project will advance knowledge about the brain processes that regulate sustained attention and put Australia at the forefront of the growing neurotechnology sector.
