Research Recap

Recording https://www.bilibili.com/video/BV1ZM411S7d7/ Speaker Charley Wu Bio Charley Wu is a cognitive scientist who is interested in the specific shortcuts and cognitive algorithms that people use to make inference tractable. Using online and virtual reality experiments, He employs computational models to predict and understand human behavior. These models allow us to understand the strategies and approximations that allow people to do so much with so little. Originally trained in Philosophy at the University of British Columbia, He pivoted to cognitive science via a M....

Recording https://www.bilibili.com/video/BV1QN4y1C77n/?vd_source=e9626f9767e6e22ece9d765f34ba01c5 Speaker Seongmin A. Park Bio Seongmin A. Park is a researcher at the Institute of Cognitive Science Marc Jeannerod, CNRS (UMR5229), where he focuses on human learning and decision-making. He received his Ph.D. from the Korea Advanced Institute of Science and Technology and completed his postdoctoral training at CNRS with Dr. Jean-Claude Dreher and at UC Davis with Dr. Erie Boorm Abstract Generalizing past experiences to new situations is a hallmark of human intelligence, but it remains challenging for many AI systems....

Recording https://www.bilibili.com/video/BV1G34y1g7Q6/?spm_id_from=333.999.0.0&vd_source=e9626f9767e6e22ece9d765f34ba01c5 Speaker Matt Nassar Bio Matt Nassar is an Assistant Professor in the Department of Neuroscience at Brown University. He received his BA at Colgate University and his Doctorate from the University of Pennsylvania. He completed post-doctoral training at the University of Pennsylvania and Brown University before joining the faculty at Brown. His research examines how the brain prioritizes, segregates, and combines information collected in complex environments and how this process differs across individuals, pathologies, and over-healthy aging....

Recording https://www.bilibili.com/video/BV1P94y1a7Kf/?spm_id_from=333.999.0.0&vd_source=e9626f9767e6e22ece9d765f34ba01c5 Speaker Mark Ho Bio Mark Ho is an Assistant Professor in the Computer Science Department at Stevens Institute of Technology. Previously, he was a faculty fellow at NYU and a postdoc at Princeton and UC Berkeley. He received his Ph.D in Cognitive Science and M.S. in Computer Science from Brown University. His research combines approaches from cognitive science, social psychology, and computer science to study the computational principles underlying human problem solving and social cognition....

Recording https://www.bilibili.com/video/BV1Rh4y1a7iq/?vd_source=e9626f9767e6e22ece9d765f34ba01c5 Speaker Haoxue Fan Bio Haoxue Fan is a fifth-year graduate student at Harvard working with Dr. Elizabeth Phelps. She is interested in how emotion interacts with decision-making under uncertainty, including cognitive processes such as exploration, information seeking, and planning. To answer these questions, she uses a combination of computational modeling, physiological measurements, and behavioral experiments. She is originally from Shanghai in China, and is always eager to know where is the best coffee and boba tea place in town :)...

Recording https://www.bilibili.com/video/BV1sh4y1A7eu/ Speaker Stefano Palminteri Bio I am a Research Director (equivalent of Full Professor) and head of the Human Reinforcement Learning team, which is part of the Laboratoire de Neurosciences Cognitives et Computationelles. My goal is understanding how humans learn to make decisions at the behavioral, computational and neural levels. I am mainly (but not only!) interested in situations when decisions are based on past experience (a.k.a. reinforcement learning). In the last few years I mainly worked on two computational hypotheses, “relative value” and “learning bias”, concerning human reinforcement learning....

Recording https://www.bilibili.com/video/BV1Sj411C77e/?vd_source=e9626f9767e6e22ece9d765f34ba01c5 Speaker Zhaoyu Zuo Bio Zhaoyu Zuo obtained a master’s degree in pattern recognition and intelligent systems from the University of Science and Technology of China and is now a research assistant at Shanghai Jiao Tong University. He is concerned with the nature of human intelligence and the mechanisms that lead to behavior and mental disorders. He uses brain-inspired models to study the cognitive computational mechanisms behind complex decisions, particularly the cooperative relationship between memory systems and reinforcement learning....

Recording https://www.bilibili.com/video/BV1au4y1R7kh/?spm_id_from=333.999.0.0&vd_source=e9626f9767e6e22ece9d765f34ba01c5 Speaker Huadong Xiong Bio I am a first-year Ph.D student in the CNS program, the department of psychology at the University of Arizona, directed by Dr. Robert Wilson. I build models to understand behaviors and I study how computation could be implemented in neural networks. Following the release of GPT-4, my research interest has partially shifted towards understanding the emergence of intelligence within large language models. Abstract The exploration-exploitation trade-off, balancing the acquisition of new information with the utilization of known resources, is a fundamental dilemma faced by all adaptive intelligence....