Naturally occurring neural activity shows broad-band fluctuations and unpredictable transitions in its dynamics. Such randomness can be an integral aspect of neuronal function; examples range from discrete fluctuations of ion channels to sudden sleep stage transitions involving the entire brain.

To understand brain function as well as dysfunction, it is therefore necessary to develop analysis and modeling techniques of neuronal dynamics that explicitly incorporate such random components. Recent examples include application of techniques derived from the theory of stochastic processes and statistical physics to the analysis and modeling of stochastic neuronal oscillations; and progress in the analysis of stochastic network models going beyond mean-field descriptions.

This workshop will bring together leading theorists and applied researchers in the field to inspire and communicate such novel approaches in the study of neural activity.