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
- 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
- On the Geometry of Somatosensory Representations in the Cortex
- Multi-scale entropy assessment of magnetoencephalography signals in schizophrenia
- Homeostasis of a representational map in the neocortex
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