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About

Seiji Kameda is a pioneering researcher in neuromorphic engineering and bio-inspired vision systems, whose work bridges computational neuroscience and practical machine vision applications. His most celebrated contribution is the development of analog VLSI silicon retina chips that faithfully emulate the sustained and transient response channels of the vertebrate retina — work that earned 96 citations and established him as a significant voice in neuromorphic circuit design. By leveraging resistive network layers with distinct length constants, Kameda's chips perform Laplacian-Gaussian-like spatial filtering and consecutive frame subtraction directly in hardware, enabling real-time, low-power image preprocessing without conventional digital overhead. Building on this foundation, Kameda scaled his silicon retina to a 100×100 pixel array and integrated it with FPGA circuits to create practical robot vision systems capable of real-time target tracking — demonstrating a rare commitment to translating theoretical neuromorphic principles into deployable engineering solutions. He also explored retinal prosthesis applications, grounding his circuit designs in physiological experiments and computer simulation of outer retinal neural networks. Across his body of work, Kameda consistently champions the idea that the vertebrate retina offers a powerful blueprint for compact, efficient machine vision — a perspective that continues to inspire researchers working at the intersection of biology, analog electronics, and robotics.