Computational and Biological Learning Lab

Carl Rasmussen Daniel Wolpert Máté Lengyel Zoubin Ghahramani Guillaume Hennequin Richard Turner
The group uses engineering approaches to understand the brain and to develop artificial learning systems. Research includes Bayesian learning, computational neuroscience, statistical machine learning and sensorimotor control. The work on machine learning includes both theory and applications to vision, information retrieval and bioinformatics.The work on human learning includes both computational modelling and experimental approaches using robotic and virtual reality interfaces.

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