Papers
1
Total Citations
12
H-Index
1
About
Seokho Seo is a pioneering researcher in neuromorphic engineering and bio-inspired electronics, with a focus on developing artificial sensory nervous systems for next-generation robotics. His most-cited work, "Experimental demonstration of third-order memristor-based artificial sensory nervous system for neuro-inspired robotics" (2025, 12 citations), showcases his major contribution: the experimental realization of a third-order memristor that mimics biological sensory processing, enabling robots to perceive and respond to external stimuli with unprecedented efficiency. This breakthrough addresses a critical challenge in creating hardware that replicates the adaptive, energy-efficient functions of animal nervous systems. Seo’s research integrates memristive devices, neural networks, and robotics, advancing the field of neuromorphic computing. His work has garnered attention for its potential to revolutionize autonomous systems, from prosthetics to intelligent machines. With a growing citation record and a focus on tangible demonstrations, Seo stands out as a rising innovator bridging materials science and artificial intelligence, inspiring students and researchers to explore the frontiers of neuro-inspired technology.
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Top Papers
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