Frisby et al., (2023, 2025 preprint, in prep.), Wiemers et al. (in prep.)
Discovering the nature of representations: Our research aims to clarify not only where information is represented in the brain, but how brain activity corresponds to information storage and use.
Developing theoretical frameworks: We believe that efforts to discover information representation in the brain will benefit from clear hypotheses about the type of neural code that we might find. We develop frameworks to enable researchers to state their perspectives clearly and understand how their ideas relate to others’.
Connecting theory and analysis: We recognise that the decoding methods we choose impact the kinds of neural code that we can discover. We employ methods that give us power to detect many kinds of representations.
Leveraging multiple imaging modalities: To investigate the temporal dynamics of representations, we analyse human electrocorticography (ECoG) data recorded from the cortical surface of patients undergoing surgery. To investigate the spatial distribution of representations, we use ultra-high-field (7T) fMRI.
Characterising change in information representation after stroke: By applying decoding methods to data recorded from patients, we aim to discover how stroke changes the way that the brain represents information.
