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:

  1. learning, valuation, and choice under uncertainty
  2. neural mechanisms of adaptive learning
  3. dynamic integration of sensory and reward information
  4. interactions between attention, decision making, and value-based learning
  5. probabilistic inference
  6. 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.