Matthew Cheely
Papers
1
Total Citations
6
H-Index
1
About
Matthew Cheely’s research sits at the intersection of neuromorphic engineering, computational neuroscience, and biologically inspired sensing systems. His most recognized contribution is a systems-level analysis of a neuromorphic VLSI echolocation system, published in 2007, which bridges the gap between bat neurobiology and engineered sonar for agile navigation. By modeling the bat’s auditory processing in silicon, Cheely demonstrated how low-power, event-driven circuits can replicate biological echolocation—an approach with direct implications for autonomous robotics operating in complex, unstructured environments. Though his most-cited paper has accrued 6 citations, its influence extends into niche fields where energy-efficient, real-time sensing is critical. Cheely’s work is notable for its interdisciplinary rigor, combining analog VLSI design with ethological insights from bat behavior. For students and researchers exploring neuromorphic hardware or bioacoustic sensing, his contributions offer a foundational blueprint for translating neural principles into compact, deployable systems.
Research Focus
Key Achievements
Top Papers
- 1A Systems View of a Neuromorphic VLSI Echolocation System6 citations · 2007