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
- Homeostasis of a representational map in the neocortex
- On the computational principles underlying human exploration
- Do Retinal Neurons Also Represent Somatosensory Inputs? On Why Neuronal Responses Are Not Sufficient to Determine What Neurons Do
- Sex-specific declines in cholinergic-targeting tRNA fragments in the nucleus accumbens in Alzheimer's disease
- Zero-Episode Few-Shot Contrastive Predictive Coding: Solving intelligence tests without prior training
- Naive Few-Shot Learning: Uncovering the fluid intelligence of machines