Speaker: Professor Brad Love (UCL)
Series: Department of Psychology External Speaker Seminar Series
Linking Brain, Behaviour, and Computation in Category Learning
One central goal of cognitive science is to understand how the brain supports behaviour. Toward this end, a great deal of effort is devoted toward computational modelling and brain imaging. One common criticism of brain imaging research is that it is overly focused on the "where" of cognition, as opposed to the "how" (i.e., process-level questions linking brain and behaviour).
Model-based analysis of fMRI data links models to the interpretation of imaging data, allowing process-level questions to be asked. The basic approach involves fitting models to behavioural data and then using internal quantities from the models as regressors in the imaging analysis. In this talk, I will discuss work using model-based fMRI analysis to understand how people learn categories from examples. I will focus on category structures that have a rule-plus-exception structure. For example, a child may acquire the rule "If it has wings, then it is a bird," but then must account for exceptions to this rule, such as bats. Results indicate that the medial temporal lobe (MTL) plays an important role in both recognising and learning exception items. I will end by considering how one can use fMRI data to decide between competing cognitive models.
For more information about Professor Love please see his staff profile page.
This event is being hosted by James Hampton.
This seminar is part of the Department of Psychology's External Speaker Seminar Series 2012-13.
The seminars are aimed at Psychology staff and students but are open to all.
All seminars take place in Room D427, unless stated otherwise.
If you have any queries relating to this event, please contact Corinna Haenshel or Emmanuel Pothos.
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When and where
1.00pm - 2.00pmWednesday 6th February 2013