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  • Language Sciences
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    Keywords

  • Neuroimaging
  • Language
  • Semantics
  • EEG/MEG
  • Machine Learning
  • Semantic Cognition
  • Equipment & Techniques

  • Behavioural analysis
  • Electroencephalography (EEG)
  • Magnetic resonance imaging (MRI)
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    Ryan M.C. Law

    (he/him/his)
    University Position
    PhD student

    Interests

    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.

    Key Publications

    Publications

    Lists with and without syntax: A new approach to measuring the neural processing of syntax

    DOI: https://doi.org/10.1523/JNEUROSCI.1179-20.2021
    Journal: Journal of Neuroscience
    Year: 2021
    Authors: Ryan M.C. Law, Liina Pylkkänen

    Neural Correlates of Modal Displacement and Discourse-Updating under (Un)Certainty

    DOI: https://doi.org/10.1523/ENEURO.0290-20.2020
    Journal: eNeuro
    Year: 2020
    Authors: Maxime Tulling, Ryan M.C. Law, Liina Pylkkänen

    Can we separate semantic representations from computations? A commentary on Calzavarini (2023)

    DOI: https://doi.org/10.1080/23273798.2023.2226269
    Journal: Language, Cognition and Neuroscience
    Year: 2023
    Authors: Olaf Hauk, Federica Magnabosco, Ryan M.C. Law