Neuroinformatics is widely defined as the cross-fertilization of information-processing and mathematical sciences on the one hand, and neural and cognitive sciences on the other. Our group works on different aspects of neuroinformatics related to statistical data analysis. We model the visual system in the brain by analyzing the statistical structure of the natural input images. We also develop the relevant theory of statistical multivariate modelling, and apply such models on different kinds of neuroscientific measurement data.
Former members and long-term visitors
Shohei Shimizu, Urs Köster, Kun Zhang, Jarmo Hurri, Mika Inki, Asun Vicente, Jussi Lindgren, Jun-ichiro Hirayama, Cristina Campi, Ilmari Kurki, Miika Pihlaja, Jukka Perkiö, Michael Gutmann, Vadim Kulikov, Pavan Ramkumar.