Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data t ....Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data that can extend and falsify current models of reading.
Benefits: These developments will significantly increase our understanding of how people read and what causes dyslexia. This work will also provide new ways to evaluate complex computational psychological models.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102378
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
What shapes the structure of language? An experimental and computational investigation. How do people learn language so easily, and how is the structure of language shaped by our learning biases? This project attempts to answer these questions through an innovative combination of experimental and computational tools, with implications for technological development as well as educational interventions for both children and adults.
Discovery Early Career Researcher Award - Grant ID: DE140100750
Funder
Australian Research Council
Funding Amount
$395,106.00
Summary
Associative learning and fluid intelligence: Computational and neurogenetic analyses. This project investigates genetic contributions to associative learning, one of our most fundamental abilities. Associative learning allows us to navigate in our environment, predict future events and make appropriate decisions. Electrophysiological measures will be used to study learning processes precisely and to investigate their relationship to polymorphisms in genes that regulate neural function. This rese ....Associative learning and fluid intelligence: Computational and neurogenetic analyses. This project investigates genetic contributions to associative learning, one of our most fundamental abilities. Associative learning allows us to navigate in our environment, predict future events and make appropriate decisions. Electrophysiological measures will be used to study learning processes precisely and to investigate their relationship to polymorphisms in genes that regulate neural function. This research will further understanding of the mechanisms that generate individual differences in learning ability and will have applications for educational techniques and behavioural interventions.Read moreRead less