We are a systems neuroscience group that aims to understanding neural circuitry and neural coding in the cerebral cortex with a major emphasis on the primate visual system. We approach this problem by recording directly from neurons in the functioning brain in vivo and by creating and refining large scale spiking neural network models that run on parallel computers. Thus, we are an interdisciplinary lab where members may do computational studies, in vivo experiments, or both. The immediate goals of our computational work are (1) to unify neural circuit models of visual processing across modalities that intersect in the primary visual cortex (V1), i.e., to integrate models of motion, color and form processing to develop a more complete and deeper understanding of the computations carried out by cortical circuitry, (2) to extend these models to higher cortical areas to investigate shape representation in area V4 and motion perception in area V5/MT, and (3) to pioneer a novel web-based modeling framework (www.iModel.org) to promote the use of computer models and to advance collaboration between experimental, computational and theoretical neuroscientists.