The focus of the group is on human visual cognition – that is, we want to know how the brain represents visual objects and scenes during veridical vision and imagery.

In particular, we want to find out (1) how the brain transforms sensory into abstract representations, (2) the dependency of those representation on task, and (3) the plasticity of the underlying neural architecture studying visual cortex in the blind.

We use a combination of methods (fMRI, M/EEG, deep neural networks), and analyze data in an integrated framework using with machine learning techniques and representational similarity analysis.

Please check the publication page for samples of our work.