Face and object perception - How are faces and complex objects analyzed and represented in the human brain?
The lab is very interested in the neurocomputational bases of human object recognition. This research relies on advanced behavioral methods, naturalistic and 3D rendered stimuli, fMRI studies as well as TMS, and most recently, the application and development of convolutional neural networks (CNNs) as a model for human recognition performance. A highly related focus is that of understanding the neurocomputational bases of object-based attentional selection.