The long-term goal of our research is to elucidate cognitive processes and neural mechanisms underlying adaptive decision making and learning. To achieve this goal, we use a combination of computational and experimental approaches (in humans), and collaborate with experimentalists that use other animal models (see current collaborators).
Currently, we are working on a few interesting topics including:
- learning, valuation, and choice under uncertainty
- neural mechanisms of adaptive learning
- dynamic integration of sensory and reward information
- interactions between attention, decision making, and value-based learning
- probabilistic inference
- multi-attribute choice and context effects
Our lab is also part of the EPSCOR attention consortium aimed at understanding the neural bases of attention using detailed computational models.