DescriptionThis whole-day course will provide a firm understanding of the neural activity that generates the measured MEG signal, as well as of source localization techniques that map the measured signal to the underlying brain structures. The course gives insight into the different types of measures that can be extracted from the multidimensional MEG signal, their benefits and limitations, and how they can be used to shed light on language processing. A strong emphasis is placed on novel methods for analyzing MEG data: measures of functional connectivity as well as machine learning methods. Language development is highlighted as a particular application of MEG in studying language.
|Period||19 Aug 2019|
|Degree of Recognition||International|
Prize: Prizes and awards
Project: Research project