What are experts made of? Uncovering expertise in motor sequence learning
Despite over 70 years of motor learning research, the field has yet to fully understand how learning expertise is developed in the brain (Richard, Clegg, & Seger, 2009; Willingham, 1999; Willingham, Wells, Farrell, & Stemwedel, 2000). This project will use MEG to investigate the changes in time-frequency wavelets as a function of expertise (Heideman, van Ede, & Nobre, 2018). The project will use a multimodal approach to combine both neurological signals and behavioural data and use multivariate approaches to differentiate the representation between experts and poorer motor sequence learners (Diedrichsen & Kriegeskorte, 2017). This project seeks to uncover one of the fundamental cognitive mechanisms of motor sequence learning.
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