Hung-Tu Chen

I am a PhD candidate in Neuroscience at Dartmouth College working with Matthijs van der Meer. I am interested in understanding how the brain encodes and generalizes information in different contexts and states. My research focus on developing computational methods to investigate the role of hippocampal neural representations in supporting various forms of generalization, including the cross-subject similarity in the encoding of related experiences and the representational geometry underlying fear generalization. I also built neural network models to study how training procedures impact task representations.

Previously, I was a research assistant working with Jeffery Erlich at New York University Shanghai. I designed a sequential decision-making task for rodents and developed (hierarchical) reinforcement learning algorithms to infer their internal models. Before that, I received a BA in Economics at National Tsing Hua University where I was introduced to normative models explaining how people make economical decisions.