Studying the brain bases of language understanding using electro- and magneto-encephalography
Ryan Law (Cambridge Neuroscience, University of Cambridge)
Ada Lovelace Building room SM3
Hosted by the Neural Computation Hub
My current research centres around the how the human brain assembles smaller bits of language into more complex linguistic and conceptual structures. A focus of this work would be on better understanding this capacity within relatively natural task designs, such as natural reading or listening. Such tasks are particularly suitable for certain populations such as children on the autism spectrum or individuals with acquired brain injury, for whom standard experimental tasks might not be appropriate. To approach this topic, my research takes a multimodal imaging approach, using non-invasive techniques such as magnetoencephalography and magnetic resonance imaging, in addition to behavioural methods. My work is supervised by Olaf Hauk and Matt Lambon-Ralph and supported by a Gates Cambridge Scholarship.
Contact information
Contact Conor Houghton with any questions