The focus of this workshop is to discuss the use of computational neuroscience for the study of psychiatric disorders and vice versa. Psychiatric disorders are associated with diverse and complex neurobiological changes leading to profound alterations at all levels of the nervous system. In addition, changes in neuronal function involve time- scales reaching from milliseconds to years. Computational modelling in psychiatry therefore has to deal with the appropriate choice of levels (cellular to behavioral), interactions between levels and emergent properties as well as the appropriate choice of the involved time-scales (short-term to long-term changes). The workshop aims to discuss computational modelling of long-term adaptation and sensitization in neuronal systems with emphasis on potential applications to psychiatric diseases such as e.g. mood disorders. A second important topic to be considered is, if and how computational modelling could result in models that can be fitted to clinical data and thus might become predictive with respect to disease featues also in clinical studies. Discussion of these as well as other related topics are appreciated.

Organized by Martin Huber and Steve Ellis