Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics
How do animals decide when to stay on vs. leave a patch during foraging?
Papers
Neural evidence that humans reuse strategies to solve new tasks
How does the brain generalize previously useful strategies to novel tasks?
Explainable deep learning improves human mental models of self-driving cars
How can self-driving cars explain their decisions?
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments
How can we safely deploy experimental motion planners at the early stages of development?
Inverse stochastic learning
How can we infer what a subject has inferred at any moment based on their behavior?
Predictive Representations: Building Blocks of Intelligence
What is the successor representation? What is its role in biological and artificial intelligence?
DriveIRL: Drive in Real Life with Inverse Reinforcement Learning
What is the intrinsic reward function of human drivers? How can we infer it and use it to drive an actual autonomous vehicle?
The neural architecture of theory-based reinforcement learning
How does the brain build mental models of rich, dynamic domains, such as video games?
CCNLab: A Benchmarking Framework for Computational Cognitive Neuroscience
How should we compare computational cognitive models in neuroscience?
Causal Inference Gates Corticostriatal Learning
How do causal inferences shape reward-based learning in the brain?
Multi-task reinforcement learning in humans
How do humans transfer knowledge across different tasks?
Dissociable neural correlates of uncertainty underlie different exploration strategies
How does the brain represent different forms of uncertainty? How do those representations determine exploratory choices?
Discovery of hierarchical representations for efficient planning
Why do humans represent their environments hierarchically? How are these hierarchical representations learned?
Neural Computations Underlying Causal Structure Learning
How does the brain learn the abstract causal structure of the world in a way that supports generalization?