Decoding change of mind decisions and errors from brain activity in humans. This project intends to provide new insights into how the brain changes a decision to achieve better outcomes. Decision-making is rarely optimal, and in a dynamic world people must often change their initial decisions in order to avoid consequential errors. This project aims to investigate the neural mechanisms underlying such change-of-mind decisions and decision errors in humans. To this end, it plans to use novel deco ....Decoding change of mind decisions and errors from brain activity in humans. This project intends to provide new insights into how the brain changes a decision to achieve better outcomes. Decision-making is rarely optimal, and in a dynamic world people must often change their initial decisions in order to avoid consequential errors. This project aims to investigate the neural mechanisms underlying such change-of-mind decisions and decision errors in humans. To this end, it plans to use novel decoding techniques to predict the evolution of change-of-mind decisions from brain activity while decisions unfold. This approach would clarify how quality of information, effort, and reward are integrated at a neural level to bias people towards changing their decisions. The expected results would provide an improved understanding of the neural dynamics of errors and how the brain corrects decisions online to achieve better outcomes.Read moreRead less
Modelling trajectories of cognitive control in adolescents and young adults. This project aims to develop an innovative framework that models behaviour, brain function and brain structure to characterise developmental trajectories of cognitive control in typically-developing young people, and to test the model’s ability to predict psychosocial outcomes. Cognitive control processes are supported by complex frontal brain networks that develop well into adulthood. Poor cognitive control is linked t ....Modelling trajectories of cognitive control in adolescents and young adults. This project aims to develop an innovative framework that models behaviour, brain function and brain structure to characterise developmental trajectories of cognitive control in typically-developing young people, and to test the model’s ability to predict psychosocial outcomes. Cognitive control processes are supported by complex frontal brain networks that develop well into adulthood. Poor cognitive control is linked to negative psychosocial outcomes (e.g. substance use, high-risk behaviours). This work is expected to inform evidence-based programmes that identify young people at risk and develop targeted training strategies to improve psychosocial outcomes.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100350
Funder
Australian Research Council
Funding Amount
$375,042.00
Summary
Decoding unstable decision preferences from brain activity. We often have to make decisions despite lacking clear preferences. This leaves us susceptible to biases from stimuli and information in our environment. This project investigates how simple, perceptual decisions and financial decisions are influenced by contextual information. The project will combine state-of-the-art neuroimaging technology with machine learning methods to develop a novel decision-decoding toolbox that directly predict ....Decoding unstable decision preferences from brain activity. We often have to make decisions despite lacking clear preferences. This leaves us susceptible to biases from stimuli and information in our environment. This project investigates how simple, perceptual decisions and financial decisions are influenced by contextual information. The project will combine state-of-the-art neuroimaging technology with machine learning methods to develop a novel decision-decoding toolbox that directly predicts decision outcomes from brain activity. This will allow investigation of how decision encoding in the brain changes under the influence of contextual information, and will provide the basis for developing an advanced model for human decision-making in real-life situations.Read moreRead less
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