Federico Corradi
Papers
6
Total Citations
72
H-Index
4
About
Federico Corradi is a researcher at the intersection of neuromorphic computing, robotics, and biologically inspired neural systems. His work focuses on translating principles from neuroscience into efficient hardware implementations, with particular emphasis on spiking neural networks, neuromorphic VLSI circuits, and event-driven sensing for autonomous systems. Corradi's most influential contribution is his spiking neuromorphic implementation of the lamprey's Central Pattern Generator (CPG), a landmark study in understanding locomotion control through biologically plausible circuits, which has garnered 35 citations. Complementing this, his work on a neuromorphic vestibular system (15 citations) demonstrated how sensory processing for balance and spatial orientation could be realized in real-time hardware — a significant step toward embodied neuromorphic intelligence. His research extends into robotics and autonomous systems, including evolved neuromorphic radar-based altitude control for blimps and pioneering event-camera-driven convolutional neural networks for predator-prey robot chasing scenarios. The latter work, including the PRED18 dataset release, has contributed valuable benchmarking resources to the event-driven vision community. Overall, Corradi's contributions bridge theoretical neuroscience and practical engineering, advancing energy-efficient, brain-inspired computing for real-world robotic applications — making his work highly relevant for researchers in neuromorphic engineering and intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Towards a Neuromorphic Vestibular System15 citations · 2014
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