Pattern recognition techniques have become an important tool for the analysis of data from various neuroimaging domains, e.g., MEG, EEG, structural MRI, functional MRI, diffusion MRI, functional connectivity analysis. Pattern recognition techniques are helping to elucidate normal and abnormal brain function in cognition and perception, or the anatomical and functional architecture of the brain. They are starting to be used as biomarkers for diagnosis and for personalized medicine and as a scientific tool to decipher neural mechanisms underlying human cognition. The International Workshop on Pattern Recognition in Neuroimaging (PRNI) aims to: (1) foster dialogue between developers and users of cutting-edge analysis techniques in order to find matches between analysis techniques and neuroscientific questions; (2) showcase recent methodological advances in pattern recognition algorithms for neuroimaging analysis; and (3) identify challenging neuroscientific questions in need of new analysis approaches.
Authors should prepare full papers with a maximum length of 4 pages (double-column, IEEE style, PDF) for review. Reviews will be double-blind, i.e. submissions have to be anonymized. This includes removing all information on the authors and their affiliations as well as citing own work in a passive voice. Non-anonymous submissions will be rejected without review. Each submission will be reviewed by a minimum of two reviewers. Manuscripts have to be submitted by March 18th, 2016, 11.59 pm (PST) via the submission website.
Accepted submissions will be assigned either to one of the oral sessions or one of the poster sessions, depending on the reviewers' evaluation. All accepted submissions will be included in the workshop proceedings. Every accepted submission has to be presented at the workshop by one of the paper's authors