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Description:
We're trying to account for a diverse range of memory behaviour using
simple, parsimonious models. Running behavioural experiments provides
important clues as to what may differentiate and unite different memory
paradigms, as well as providing valuable data for model testing/fitting.
This research also sets the stage for brain-activity studies. |
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A model of memory for pairs of words.
The same model learning word triples. |
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| Description: The brain-activity experiments we do are grounded in behavioural experiments and mathematical models of behaviour. We employ two basc methods of recording brain activity: Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Much of what we study starts with the Subsequent Memory Effect (Sanquist et al. 1980), in which we try to figure out what aspects of brain activity while people study materials is associated with later memory for those materials. |
We can analyse rhythmic brain activity (oscillations) |
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Description: To make the connection between brain activity and memory behaviour (i.e., how does the brain produce behaviour?) more direct, we need to figure out new ways of asking this kind of question, which includes grounding our brain-activity experiments in behavioural research, and we also need to develop novel analysis methodology techniques to be able to ask these new kinds of questions better. We have been using the multivariate method, partial least-squares (PLS) thus far. We are also investigating machine learning methods such as support vector machines and relevance vector machines, which are very popular right now, but it is not yet clear how to apply them to cognitive brain data.
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Neuromodulatory Functional Networks |
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