学术讲座：Computational psychiatry and neurocognitive modeling
主讲人：Ji CHEN, Assistant Professor, Department of Psychology and Behavioral Sciences, Zhejiang University
时间：9:00 - 10:00, July 13, 2023 (Beijing Time)
地点：202, Yue-Kong Pao Library's Annex
讲座摘要：
Mental illness poses significant challenges to society. The effective diagnosis and treatment of mental disorders remain major concerns in the field. Recent psychiatric research highlights the use of artificial intelligence techniques. Computational psychiatry, which leverages multi-view data and multi-level computations, aims to improve the understanding, prediction, and treatment of mental disorders. As a promising approach, it at least has two branches, data-driven and theory-based modeling. By reviewing data-driven classification and prediction models in psychiatric machine learning research, we refined several new perspectives in this direction. While data-driven approaches have demonstrated their value in guiding diagnostics and treatments, it is not readily by these methods to dissect the neurocognitive mechanisms underlying anomalistic behaviors. Theory-based approaches, in contrast, are designed for such purposes, and can help unravel hidden states that drive specific processes. We focused on social functioning impairment, which is a central psychopathology in many mental disorders. In our investigation of this aspect, two-person paradigms and Bayesian active inference are proposed to dissect the abnormal interactional processes in schizophrenia. In this talk, the speaker will introduce the aforementioned data-driven and theory-based works and discuss how data- and theory-driven methods may be fused and may shed light on the development of future social robots for intervening abnormal interactional behaviors.
主讲人简介：
Dr. Ji Chen is a principal investigator at the Department of Psychology and Behavioral Sciences, Zhejiang University. He is also affiliated with the Department of Psychiatry, The Fourth Affiliated Hospital, Zhejiang University School of Medicine. Dr. Chen obtained his PhD degree from the Faculty of Mathematics and Natural Sciences, Heinrich-Heine-Universität Düsseldorf, and completed his PhD research in the Institute of Neuroscience and Medicine, Research Centre Jülich, Germany. His research interests include computational psychiatry, social and health psychology, cognitive modeling and neuroimaging. He devotes to combining data-driven machine learning with theory-based models on the basis of cognitive and clinical neuroscience and recently propose the concept and approach of interpersonal computational psychiatry. Previous work has been published in Lancet Psychiatry, Biological Psychiatry and Nature Human Behaviour. He serves as the young investigator leading a STI2030-Major Project (i.e., the China Brain Project) and receives Somerfeld-Ziskind Research Award Honorable Mention from the Society for Biological Psychiatry.
