Marcel Binz | Foundation models of human cognition

Recording https://www.bilibili.com/video/BV1FxSwYBExo/?share_source=copy_web&vd_source=afe9405056278e6f25d039a72daab83b Speaker Marcel Binz Bio Marcel Binz is a research scientist and deputy head of the Institute for Human-Centered AI at Helmholtz Munich. His research employs computational models to uncover the fundamental principles behind human cognition. He believes that for a more complete understanding of human cognition, we must consider the human mind as a whole. His current goal is therefore to establish foundation models of human cognition – models that cannot only simulate, predict, and explain human behavior in a single domain but those that offer a unified take on our mind....

2024-11-19

Christopher Summerfield | Comparing the learning dynamics of humans and deep networks

Recording Speaker Christopher Summerfield Bio Christopher Summerfield is a Fellow by special election and principal investigator at the Summerfield lab which conducts research into how humans make decisions. Chris Summerfield was trained in psychology and neuroscience at University College London, Columbia University (New York), and the École normale supérieure (Paris). He is a Professor of Cognitive Neuroscience in the Department of Experimental Psychology, where he heads a lab focused on understanding the computational mechanisms by which humans make decisions, and how these processes are implemented in the brain....

2024-06-28

Marc-Lluis Vives | On the relationship between semantic representations and decision-making

Recording https://www.bilibili.com/video/BV1rs421T7xX/?share_source=copy_web Speaker Marc-Lluis Vives Bio Marc-Lluis Vives is an Assistant Professor at Leiden University. He is interested in how the structure of mental representations predicts behavior in general and decision-making in particular. Abstract Decision-making is driven by how the situation is mentally constructed. Past research has successfully manipulated these decision frames by changing how a situation is described. It remains unknown, however, how decision frames are spontaneously constructed in the first place....

2024-06-14

Arkady Konovalov | Strategic Computations and Learning in the Social Brain

Recording Speaker Arkady Konovalov Bio I am an Associate Professor in the School of Psychology at the University of Birmingham. My research focuses on neuroeconomics and decision making in general, including models of the choice process, value-based learning, and social and strategic interactions, using methods of computational neuroscience such as response times modeling, fMRI, EEG, eye-tracking, and mouse-tracking. I received my PhD from the Ohio State University, where I worked with Ian Krajbich, PJ Healy, and John Kagel; I then got my postdoctoral training with Christian Ruff at the University of Zurich....

2024-04-05

Anne Collins | Deconstructing human reinforcement learning

Recording Speaker Anne Collins Bio I am currently an associate professor at UC Berkeley in the psychology department, with an affiliation in the Helen Wills Neuroscience institute. This semester, I’m also a visiting scholar at the University of Bordeaux, France. I did my undergrad at Ecole Polytechnique in France in Maths and engineering, and my PhD at Universite Pierre et Marie Curie, France. Then I was a postdoc at Brown university....

2024-03-29

Toby Wise | Learning about uncertainty: mechanisms and implications for mental health

Recording https://www.bilibili.com/video/BV12y421z7sj/?share_source=copy_web&vd_source=afe9405056278e6f25d039a72daab83b Speaker Toby Wise Bio Toby Wise is a Senior Research Fellow in the Department of Neuroimaging at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London.Toby started his academic career with a BSc in Psychology and MSc in Cognitive Neuroscience at the University of Sussex, before completing a PhD at the Institute of Psychiatry, Psychology and Neuroscience at King’s College London, where he focused on neuroimaging markers of depression and bipolar disorder....

2024-02-29

Michael J. Frank | Clustering and generalization of abstract structures in reinforcement learning

Recording https://www.bilibili.com/video/BV14i4y1e7Lc/?vd_source=8b926cc5cb9e7d8fb85957e534d96e47 Speaker Michael J. Frank Bio Michael J. Frank is Edgar L Marston Professor of Cognitive, Linguistic & Psychological Sciences at Brown University. He directs the Center for Computational Brain Science within the Carney Institute for Brain Science. He received his PhD in Neuroscience and Psychology in 2004 at the University of Colorado, following undergraduate and master’s degrees in electrical engineering. Frank’s work focuses primarily on theoretical models of frontostriatal circuits and their modulation by dopamine, especially their cognitive functions and implications for neurological and psychiatric disorders....

2023-12-14

Robert C. Wilson | Information, randomization, and simulation in exploration and exploitation

Recording https://www.bilibili.com/video/BV1vg4y1f7ey/?spm_id_from=333.999.0.0&vd_source=e9626f9767e6e22ece9d765f34ba01c5 Speaker Robert C. Wilson Bio Bob Wilson is an Associate Professor of Psychology and Director of the Cognitive Science Program at the University of Arizona. Bob is interested in the computational neuroscience of decision-making, studying all kinds of choices from simple perceptual decisions to judgments about phishing emails. Outside of the lab, Bob enjoys raising chickens and learning the piano. Abstract Many decisions involve a trade-off between exploring unknown options for information and exploiting known options for a more certain payoff....

2023-12-05

Weiji Ma | The cognitive science of complex planning

Recording https://www.bilibili.com/video/BV1ye411d7Ty/?spm_id_from=333.999.0.0&vd_source=8b926cc5cb9e7d8fb85957e534d96e47 Speaker Weiji Ma Bio Wei Ji Ma is Professor of Neural Science and Psychology at New York University. He received his Ph.D. in Theoretical Physics from the University of Groningen, the Netherlands, in 2001. He switched to computational neuroscience and computational cognitive science, doing postdocs at Caltech and the University of Rochester. He was Assistant Professor of Neuroscience at Baylor College of Medicine from 2008 to 2013 before he joined New York University....

2023-12-01

Charley Wu | Visual-spatial dynamics drive adaptive social learning in immersive environments

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....

2023-11-08