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 · Computation
I study how the human brain represents the world, combining large-scale behavior, neuroimaging, and computational models.
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 and object representations: how the brain transforms complex sensory input into neural codes that reflect experience and support everyday behavior. I use large-scale neuroimaging and naturalistic designs in combination with modeling approaches that connect brain data to behavior and modern AI systems of vision and language.
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)