Speaker: Dr Jiayu Zhan, University of Glasgow
The cognitive mechanism of recognition is guided by mental representations that are stored in memory.
Yet, the actual information contents of these representations are rarely characterized, which hinders knowledge of the mechanisms that use them.
In this talk, I will present a novel method that combines a Generative Model of 3D Faces with subjective face perception, to reverse engineer the 3D face features stored in participants’ memory for two different tasks: identifying familiar faces and judging facial attractiveness.
Then I will introduce an MEG case study to illustrate how I can further track the dynamic processing of such memorized contents in brain activities, and demonstrate the integrations of these contents onto specific voxels that support flexible categorizations.
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City, University of London
London EC1V 0HB