Archived Events

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

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

Arkady Konovalov | Strategic Computations and Learning in the Social Brain

Anne Collins | Deconstructing human reinforcement learning

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

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

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

Weiji Ma | The cognitive science of complex planning

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

Taicheng Huang | Beyond the hippocampus as a predictive map

Seongmin A. Park | Structural abstraction and behavioral flexibility

Matt Nassar | Dynamic representations for behavioral flexibility

Mark Ho | Construction of mental representations in human planning

Haoxue Fan | Trait somatic anxiety is associated with reduced directed exploration and underestimation of uncertainty

Stefano Palminteri | Reinforcement learning biases that makes us smart

Zhaoyu Zuo | Working memory guides action valuation in model-based inference

Shen Xu | Crash tutorials on fitting hierarchical Bayesian reinforcement learning models

Huadong Xiong | Neural network modeling reveals diverse human exploration behaviors via state space analysis