2nd International Workshop on

Pattern Recognition in NeuroImaging (PRNI 2012)

JULY 2-4, UCL, London, UK


Multivariate and predictive analysis of neuroimaging data has gained ground very rapidly in the community over the past few years, leading to impressive results in cognitive, affective, and clinical neurosciences. Innovations in machine learning, such as mixed-norm regularisation, multiple kernel learning, and online learning have been incorporated rapidly, and novel methods are emerging which are specifically tuned to the constraints of neuroimaging data, prompting advances in areas such as structured sparsity or covariate modelling. Pattern recognition and machine learning conferences now typically feature a neuroimaging workshop, while neuroscience and brain imaging meetings dedicate sessions and track to "brain decoding" and multivariate predictive methods. Thus, a rich two-way flow has been established between disciplines.

After Istanbul and Seoul, it is the intention of the 2nd International Workshop on Pattern Recognition in NeuroImaging, July 2-4, 2012, to continue facilitating exchange of ideas between scientific communities, with a particular interest in the link between mass-univariate, post-hoc modelling and multivariate predictive models.