Retinal Computation summarizes current progress in defining the computations performed by the retina, also including the synaptic and circuit mechanisms by which they are implemented. Each chapter focuses on a single retinal computation that includes the definition of the computation and its neuroethological purpose, along with the available information on its known and unknown neuronal mechanisms. All chapters contain end-of-chapter questions associated with a landmark paper, as well as programming exercises. This book is written for advanced graduate students, researchers and ophthalmologists interested in vision science or computational neuroscience of sensory systems.
While the typical textbook's description of the retina is akin to a biological video camera, the real retina is actually the world’s most complex image processing machine. As part of the central nervous system, the retina converts patterns of light at the input into a rich palette of representations at the output. The parallel streams of information in the optic nerve encode features like color, contrast, orientation of edges, and direction of motion. Image processing in the retina is undeniably complex, but as one of the most accessible parts of the central nervous system, the tools to study retinal circuits with unprecedented precision are up to the task. This book provides a practical guide and resource about the current state of the field of retinal computation.
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Gregory William Schwartz is the Derrick T. Vail Associate Professor in the Departments of Ophthalmology and Physiology of the Feinberg School of Medicine at Northwestern University, Chicago, IL, USA. His lab works on computation in the mouse retina and early visual system at various levels, including neuronal biophysics, synapses and circuits, retina-to-brain connectivity, and innate visual behavior. In addition to mentoring and teaching topics related to the retina, Dr. Schwartz directs graduate courses on statistics and data science in neuroscience and scientific communication.
Efforts are underway to restore vision to the blind with artificial retinal prosthetics. One of the key challenges in designing an artificial retina is understanding the image processing that occurs in retinal circuits. While the typical textbook description of the retina is akin to a biological video camera, the real retina is actually the world’s most complex image processing machine. As part of the central nervous system, the retina converts patterns of light at the input into a rich palette of representations at the output. The parallel streams of information in the optic nerve encode features like color, contrast, orientation of edges, and direction of motion. Image processing in the retina is undeniably complex, but as one of the most accessible parts of the central nervous system, the tools to study retinal circuits with unprecedented precision are up to the task. This book provides a practical guide and resource about the current state of the field of retinal computation.
Retinal Computation summarizes current progress in defining the computations performed by the retina and discovering the synaptic and circuit mechanisms by which they are implemented. Each chapter focuses on a single retinal computation. The author discusses the definition of the computation and its neuroethological purpose before reviewing what is known and unknown about neuronal mechanisms. At the end of each chapter are discussion questions associated with a landmark paper, as well as programming exercises. This book is written for advanced graduate students, researchers, and ophthalmologists interested in vision science or computational neuroscience of sensory systems.
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