Papers

5

Total Citations

49

H-Index

3

About

Norberto Eiji Nawa is a researcher whose work has been centrally focused on artificial brain development, evolutionary neural networks, and biologically inspired computing architectures. His most significant contributions emerged from ATR's ambitious CAM-Brain Machine (CBM) project, a landmark initiative aimed at constructing an artificial brain containing one billion neurons — one of the most audacious goals in the history of artificial intelligence research. Nawa's technical contributions include pioneering work on the "Spike Interval Information Coding" representation for neural signaling, which earned 24 citations and remains his most recognized publication. He also advanced the development of the "CoDi-1 Bit" neural network model, which explored how evolved neural circuit modules could handle both digital and analog input/output tasks, reflecting a sophisticated understanding of real-world computational demands. His involvement in the Robot Kitten (Robokoneko) initiative further demonstrated his interest in applying evolved neural architectures to embodied robotic control. While his citation counts are modest, Nawa's work situates him within a pioneering era of neuromorphic and evolutionary computation research, contributing foundational ideas during a formative period when artificial brain concepts were transitioning from theory into experimental engineering.

Research Focus

Key Achievements

3
H-Index
5
Papers
49
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A “Spike Interval Information Coding” representation for ATR’s CAM-Brain Machine (CBM)
24 citations · 1998
📈 Most Prolific Year: 1998 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Research Organization of Information and Systems, Aerotech Research (United States)

Top Papers

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    ATR's artificial brain (CAM-Brain) project: a sample of what individual CoDi-1Bit model evolved neural net modules can do with digital and analog I/O
    2 citations · 1999

Key Collaborators

Contact & Links

Available for collaboration
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