Distributed representations of behaviour-derived object dimensions in the human visual system
A comprehensive characterization of how the brain organizes our understanding of the objects we see.
Neuroscience · Psychology · AI
I study how the human brain represents the world, combining large-scale behavior, neuroimaging, and AI methods.
A comprehensive characterization of how the brain organizes our understanding of the objects we see.
Open datasets for studying object representations across brain (fMRI, MEG) and behavior.
My work focuses on visual cognition: How does the brain transform the complex signal entering our eyes into neural codes that reflect experience and support behavior? I use large-scale neuroimaging methods and naturalistic designs in combination with modeling approaches that connect brain data to behavior and AI vision and langauge systems.
Another focus is reproducible, community-driven neuroscience: building, sharing, and maintaining open datasets that help drive discovery.
Communications Biology, Nature Communications, Scientific Data, Imaging Neuroscience, In-Mind.
(* equal contribution)