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
- Modeling the Centaur: Human-Machine Synergy in Sequential Decision Making
- Untrained neural networks can demonstrate memorization-independent abstract reasoning
- Is it me, or is A larger than B: Uncovering the determinants of relational cognitive dissonance resolution
- Investigating learning-independent abstract reasoning in artificial neural networks
- Spatiotemporal dynamics of locomotor decisions in Drosophila melanogaster
- Idiosyncratic choice bias and feedback-induced bias differ in their long-term dynamics
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