Computer vision, probabilistic models for image sequences, invariant features.

Neural Networks, Spiking Neural Nets, Retinotopic Visual Architectures.

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

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