We have a new chapter out in the Elsevier book series The Senses, 2021.
Abstract: The retina is both a light sensor and a highly complex image-processing device – like supercomputers at the backs of eyes. The retina is also wonderfully compact with all circuitry (glia, neurons, synapses and gap junctions) required to compute sensory input, making it a convenient model for understanding the rest of the nervous system. This is also true for disease, with early evidence indicating retina may be a good model for studying progressive neural degenerative diseases. Modern ultrastructural approaches to the study of neural connections is a relatively new !eld has been termed “connectomics”. Connectomics approaches applied to the retina is termed retinal connectomics. These approaches are relatively new !elds that leverage modern technologies in light and ultrastructural imaging, computational storage, and data management to allow tracking of neuronal identity and connectivity, delivering a robust edge/node network map of circuit topologies. Understanding circuit topologies is critical to understanding how retinas process information, and how information processing is corrupted in disease. This chapter summarizes early history, discusses technical aspects of imaging connectomes, justi!es the importance of why connectomics approaches are important, particularly in retina, discusses what has been learned from early efforts in connectomics, and points the way to the next steps.
Please email me: email@example.com if you would like a pdf of the chapter.