题目：How to formulate a computational modeling for social behavior research

报告人：吴小燕

报告时间：2019年11月7日（周四） 16：00-17：00

报告地点：心理学院301会议室

摘要：Computational modeling are encouraged in psychology and neuroscience research. By fitting models to experimental data we can probe the algorithms underlying behavior, find neural correlates of computational variables and more precisely understand the effects of drugs, illness, interventions and other variables we care about. Here, I share several simple rules to show how to use computational modeling approaches for social behavior research with care and given an example of my study which aims to reveal how human cooperative behaviors are generated by computational algorithms.

报告人简介：吴小燕，深圳大学心理学院硕士研究生，师从罗跃嘉教授。主要采用计算模型以及脑成像技术研究健康成年人的社会互动行为。研究成果发表在Hormones and Behavior, Frontiers in Human Neuroscience, Biomedical Optics Express, 心理科学进展等专业学术期刊上。