Talk: Infering cognitive architectures from high-resolution behavioural data

I’ve been invited to give a talk at York Centre for Complex Systems Analysis. I’ll be speaking on the 13th of May, a friday, to the title “Infering cognitive architectures from high-resolution behavioural data”. It’ll be an overview of what it is exactly that I try to do as part of my work.

Abstract: I will give an overview of some of the work done in our lab, the Adaptive Behaviour Research Group (http://www.abrg.group.shef.ac.uk/ ) in the Department of Psychology, University of Sheffield. Across human, non-human animal, simulation and robotics platforms we investigate the neural circuits that allow intelligent behaviour, bringing to bear psychological, neuroscientific and computational perspectives. We are particularly interested in the action selection problem – that of deciding what to do next (and of doing it). This talk will focus on my own work looking at 3 paradigms where we have collected high-resolution behavioural data in humans – mistakes made by expert touch typists, eye-movements during visual search and a novel paradigm for investigating the learning of new motor skills. I will make comments on how we analyse such data in order to make inferences about the underlying architecture of human decision making.