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 and collaborate with experimentalists in different fields (see current collaborators).
Currently, we are working on a few interesting topics including:
- learning, valuation, and choice under uncertainty
- role of metaplasticity in adaptive learning
- dynamic integration of sensory and reward information
- functions of neural heterogeneity
- probabilistic inference
- multi-attribute choice and context effects
- interactions between attention, decision making, and value-based learning
- contribution of neural interactions to the flexible representation of space
Our lab is also part of the EPSCOR attention consortium aimed at understanding the neural bases of attention using detailed computational models.