The brain in real time: a neural model of rhythmic action and perception. This project aims to study a fundamental function of the human brain: its temporal architecture. It will provide an innovative perspective on the neural mechanisms underlying and relating perception, intention, and voluntary action in real time, though a combination of eye-tracking, behaviour, and neural recordings. By providing a common language with which to relate perception, cognition, volition and action, this will ....The brain in real time: a neural model of rhythmic action and perception. This project aims to study a fundamental function of the human brain: its temporal architecture. It will provide an innovative perspective on the neural mechanisms underlying and relating perception, intention, and voluntary action in real time, though a combination of eye-tracking, behaviour, and neural recordings. By providing a common language with which to relate perception, cognition, volition and action, this will provide significant benefits that will transform the way we think about brain function.Read moreRead less
Predicting Behaviour from Brain Representations. This project aims to advance our understanding of how perceptual information is represented in the human brain and to link the structure of perceptual brain representations to human behaviour. The project plans to use complementary methods for recording brain activity (human neuroimaging and primate single-cell neurophysiology) and cutting-edge analytic techniques to generate a predictive model of behaviour based on the structure of perceptual bra ....Predicting Behaviour from Brain Representations. This project aims to advance our understanding of how perceptual information is represented in the human brain and to link the structure of perceptual brain representations to human behaviour. The project plans to use complementary methods for recording brain activity (human neuroimaging and primate single-cell neurophysiology) and cutting-edge analytic techniques to generate a predictive model of behaviour based on the structure of perceptual brain representations. It is anticipated that the results will significantly advance the field of cognitive neuroscience by providing a novel empirical framework for understanding how brain representations are predictive of behaviour.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100344
Funder
Australian Research Council
Funding Amount
$383,551.00
Summary
Neural integration of feedforward and feedback circuits for decision-making. The aim of this project is to discover how cells in the brain combine different types of information to allow decisions to be made. This project will focus on the part of the brain that integrates multiple sources of information to guide choices to accomplish behavioural goals. Using novel electrophysiological and engineering techniques, this project intends to measure the influence of sensory and cognitive information ....Neural integration of feedforward and feedback circuits for decision-making. The aim of this project is to discover how cells in the brain combine different types of information to allow decisions to be made. This project will focus on the part of the brain that integrates multiple sources of information to guide choices to accomplish behavioural goals. Using novel electrophysiological and engineering techniques, this project intends to measure the influence of sensory and cognitive information relayed by other brain areas, and to determine how this correlates with behaviour. The intended outcome of this project is a new understanding of how information is processed in brain cells. This should benefit the development of neural engineering devices.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101393
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Neurobiological mechanisms of decision under uncertainty. The purpose of this project is to understand the behavioural and brain mechanisms underlying decision under uncertainty. This research will uncover the effect that normal variation in brain networks has on choice and contribute to a better understanding of disorders linked to intolerance of uncertainty.