The field of cognitive neuroscience has flourished due to advances using multiple methodologies such as anatomy, physiology, imaging, and behavior. Given the progress that has been made in each of these areas, the time is ripe for strong theoretical frameworks that can relate different levels of analysis, moving beyond basic brain/behavior correlations. The emerging field of Computational Cognitive Neuroscience (CCN) is ideally suited to help fill this need through the use of mathematical analysis and explicit computational models that bridge the gap between biological mechanisms and cognitive function. This meeting focuses on research at the intersection of neuroscience, cognitive psychology, and computational modeling, where neuroscience-based computational models are used to simulate and understand cognitive functions such as perception, attention, learning and memory, language, and higher-level cognitive functions. CCN research benefits greatly from collaboration with various non-modeling researchers for developing and interpreting relevant empirical data. A major goal for this conference is to create fruitful opportunities for modelers and non-modelers to interact.