Studies of the neural basis of behavior typically use time-varying stimuli and produce time-varying neuronal responses. Statistically, the setting involves both continuous multiple time series and inhomogeneous point processes, sometimes dozens or hundreds of them observed simultaneously. There are many challenging analytical issues, including that of combining information obtained from multiple modalities (EEG, fMRI, MEG, and extracellular recordings). This workshop series aims to:

• define important problems in neuronal data analysis and useful strategies for attacking them;

• evaluate analytical methods by their ability to yield insightful results in interesting settings;

• foster communication between experimental neuroscientists and those trained in statistical and computational methods;

• encourage young researchers, including graduate students, to present their work;

• expose young researchers to important challenges and opportunities in this interdisciplinary domain, while providing a small meeting atmosphere to facilitate the interaction of young researchers with senior colleagues.