The long-term goal of our research is to elucidate cognitive processes and neural mechanisms underlying adaptive decision making and learning, and heuristics and cognitive biases we have evolved to overcome many challenges we face in naturalistic settings. 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 over time
- interactions between attention, decision making, and value-based learning
- role of attention in reward learning
- multi-attribute choice and context effects
- cognitive biases and heuristics
Our lab is also part of the EPSCOR attention consortium aimed at understanding the neural bases of attention using detailed computational models.