We are an interdisciplinary laboratory, interested in computational neuroscience and computational cognition. Research in the lab in recent years has primarily revolved around the neural mechanisms and computational principles underlying different types of learning. However, we are easily distracted and study whatever question we find interesting.
Recent Publications
- On the Geometry of Somatosensory Representations in the Cortex
- Homeostasis of a representational map in the neocortex
- Stability and robustness of idiosyncratic choice bias
- Is there Value in Reinforcement Learning?
- Behavior engineering using quantitative reinforcement learning models
- Modeling the Centaur: Human-Machine Synergy in Sequential Decision Making
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