Computational neuroscience has become an attractive multi-disciplinary endeavor aimed at a better understanding of the brain and its information processing. Technical advances enable researchers to measure neural activity over a broad range of space, time, and energetic spectrum. As no single data set is on its own comprehensive, it has become standard practice to combine multiple imaging modalities. These new data require novel and specialized analysis methods. Thus, the emphasis of the workshop will be placed on the timely topic of analysis of multimodal neuroimaging data. The goal of this workshop is to facilitate cross fertilization of ideas among leading international thinkers drawn from the disciplines of neuroimaging and computational neuroscience, mathematics, statistics, modeling, and machine learning. Theory, neuroscientific and clinical application perspectives as well as the brain computer interfacing point of view will be discussed.
This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.
(University of Maryland Baltimore County)
Mark Cohen (University of California, Los Angeles (UCLA))
Klaus-Robert Müller, Chair (Technische Universität Berlin)