C. Donham

University of Pennsylvania

Papers

2

Total Citations

37

H-Index

2

About

C. Donham is a pioneering figure in the early development of analog neural computing, whose work laid critical groundwork for real-time, hardware-based neural networks. His primary research areas include VLSI design, analog computation, and neural network architecture. Donham’s major contributions center on the design and fabrication of a general-purpose analog neural computer, as detailed in his most-cited paper (26 citations), which demonstrated how VLSI components could be integrated to create scalable, programmable neural systems. His 1988 report on a programmable analog neural computer and simulator (11 citations) further advanced the field by targeting real-world, real-time applications such as visual and acoustical pattern analysis, robotics, and specialized neural net development. Though his citation counts reflect the niche nature of early analog hardware research, Donham’s work was notably ahead of its time, envisioning a scalable machine that could bridge the gap between theoretical neural models and practical, high-speed computation. His achievements remain a foundational reference for researchers exploring neuromorphic engineering and analog VLSI for neural networks.

Research Focus

Key Achievements

2
H-Index
2
Papers
37
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Design and Fabrication of VLSI Components for a General Purpose Analog Neural Computer
26 citations · 1989
📈 Most Prolific Year: 1989 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Pennsylvania

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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