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UFII Fellows Journal Club Virtual Seminar – Peng Liu
May 6, 2021 @ 12:00 pm - 1:00 pm
UFII Fellows Journal Club Virtual Seminar Series
“Brain-inspired AI for Understanding Emotion in the Brain”
by Peng Liu
Ph.D. candidate in the Department of Biomedical Engineering
Thursday, May 6, 2021
AI techniques have been rapidly growing in addressing scientific questions. Recent studies have shown that AI techniques such as deep neural networks (DNNs) provide a good model of the human brain and facilitate understanding brain activities. Emotion is a high-order cognitive activity and is essential for the survival of the organism. How emotion represents and engages in the whole brain is fundamental to understanding high-level cognitive functions and explaining human behavior. We will discuss using DNNs to understand emotion representation and whether specific neuronal activation patterns represent latent emotional dimensions in a visual system. We will also discuss modeling the emotion cognition pathway from the visual cortex to the amygdala with DNNs. Our work demonstrates the emergence of emotion selectivity in a DNN visual system and reveals the feature and function similarity between a DNN affective model and brain fMRI data.
Peng Liu is a Ph.D. candidate in Biomedical Engineering at the University of Florida. Peng has been working on applied machine learning and AI techniques in healthcare and cognitive neuroscience, focusing on medical image analysis and brain-inspired AI for understanding emotion in the brain. Peng’s work has been original and significant, and he has published three top journals and three top conference papers. He owns one U.S. patent and has received a number of awards, including two first-place awards at the Diabetic Retinopathy Segmentation and Grading Challenge organized by the premier International Symposium on Biomedical Imaging and Lightning Talks Award by 2021 NSF Smart and Connected Health (SCH) PI WORKSHOP.