Jing Lu
Papers
2
Total Citations
6
H-Index
2
About
Jing Lu’s research lies at the intersection of neuromorphic engineering and robotics, focusing on the hardware implementation of biological neural circuits. Her major contributions center on designing CMOS-based neuron oscillators that mimic the bursting patterns of biological neurons, enabling more natural and efficient motion control in robots. By translating the Hindmarsh-Rose neuron model into silicon using 0.18μm CMOS technology, she demonstrated how on-chip neural circuits can achieve synchronization and minimize power consumption—critical for autonomous systems. Her most cited work, “Implementation of Excitatory CMOS Neuron Oscillator for Robot Motion Control Unit” (2014, 4 citations), showcases a closed-loop design where CMOS neurons and excitatory synapses work together to produce coordinated bursting patterns. This approach offers a scalable, low-power alternative to traditional digital controllers for robotic motion. While her citation counts are modest, Lu’s work represents an important step toward biologically plausible hardware for robotics, bridging the gap between theoretical neuroscience and practical engineering. Her contributions are particularly valuable for students and researchers interested in neuromorphic circuits, analog VLSI design, and bio-inspired control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Implementation of CMOS neuron for robot motion control unit2 citations · 2013