Object recognition, cognitive neuroscience, interaction between vision and motor movements.

Statistical signal and image processing, natural image modelling, graphical models.

Neural networks applied to visual perception and computational modeling of mental disorders.

Machine learning; applications to human-computer interaction, vision, neurophysiology, biology and cognitive science.

Varied machine learning and data analysis topics, including Bayesian inference, relevance vector machine, probabilistic principal component analysis and visualisation methods.

Learning and inference in complex probabilistic models.

Brain Computer Interface.

Reinforcement learning.

Belief networks, dynamic trees, image models, image processing, probabilistic methods in astronomy, scientific data mining, Gaussian processes and Hopfield neural networks.

Computational learning, complex probability modelling.