Abstract #2700

Multi-task deep neural network reveals distinct and hierarchical pathways for face perception in visual cortex

HUI ZHANG^1,2, XUETONG DING^1,2, and JIAQI ZHOU³

¹Beijing Advanced Innovation Center for Big Data-Based Precision Medicine(BDBPM), Beihang University, Beijing 100083, China, Beihang University, Beijing, China, ²Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China, Beijing, China, ³Department of computer science, Beihang University, Beijing, China

We developed a multi-task deep neural network (DNN) model that can simultaneously classify facial expressions and identities. The model’s architecture and weights were optimized, and then used as an efficient tool to investigate the neural responses to facial expression and identity perception in an fMRI experiment. Our results revealed distinct visual pathways for facial expression and identity processing in the dorsal and ventral pathways in IT cortex, respectively. We also found hierarchical processing for facial expression and identity within the visual pathways.

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