On the Cover: Neural wiring of the rabbit retina reconstructed using tools and techniques developed specifically for the emerging field of connectomics. This picture is assembled from images created using serial block-face scanning electron microscopy. The resulting stack of images is then analyzed to create a detailed reconstruction of the original tissue. Connectomics seeks to develop the tools to create connectomes – structural summaries of neural networks – and to analyze these connectomes to better understand the brain. Using convolutional network machine learning approaches, Professor Sebastian Seung’s lab has developed a number of the high-throughput processing tools that are increasingly needed to handle the very large data sets that this research can produce. This image was created by Viren Jain, Srinivas Turaga and Sebastian Seung from BCS in collaboration with Kevin Briggman, Moritz Helmstaedter, and Winfried Denk from the Max Planck Institute for Medical Research, Heidelberg.