H. Martin Reekie

University of Edinburgh

Papers

3

Total Citations

47

H-Index

3

About

H. Martin Reekie is a pioneering researcher in analog VLSI neural networks and bio-inspired robotics. His groundbreaking work in the 1990s focused on developing "pulse-stream" VLSI circuits, most notably the EPSILON neural network chipset. This innovative device, capable of computing 360 million synaptic connections per second, demonstrated the practical application of pulse-stream methods for dynamic weight storage in analog neural networks—a significant contribution to hardware neural computation. His most cited paper (22 citations) on pulse-stream VLSI neural networks further explored nonvolatile memory alternatives using amorphous silicon, addressing key limitations of the technology. In a notable shift toward bio-inspired robotics, Reekie later designed a hexapod robot modeled on the stick insect *Carausius morosus* (12 citations), showcasing his versatility in translating biological principles into engineering solutions. His work bridges analog circuit design and neuromorphic engineering, influencing both hardware implementations of neural networks and robotic locomotion. Reekie’s contributions remain foundational for researchers exploring efficient, hardware-based neural computation and biologically inspired robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
47
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Pulse stream VLSI neural networks
22 citations · 1994
📈 Most Prolific Year: 1994 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Edinburgh

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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