Yong-Bin Kim
Papers
1
Total Citations
4
H-Index
1
About
Yong-Bin Kim is a researcher whose work bridges the frontiers of neuromorphic engineering and robotics, with a particular focus on hardware implementations of neural circuits. His key research areas include CMOS-based neuron oscillator design, bio-inspired control systems, and the integration of artificial neural networks with physical robotic platforms. Kim's major contribution lies in the development of an excitatory CMOS neuron oscillator that enables synchronized bursting patterns between artificial neurons—a critical step toward creating efficient, brain-inspired motion control units for robots. By designing both CMOS neurons and excitatory synapses in a closed-loop configuration, his work demonstrates how biological neural dynamics can be faithfully replicated in silicon. Although his most-cited paper, "Implementation of Excitatory CMOS Neuron Oscillator for Robot Motion Control Unit" (2014), has accumulated 4 citations, its significance extends beyond raw numbers: it represents a foundational proof-of-concept for low-power, compact neural hardware that could one day power autonomous systems. Kim's research is particularly valuable for students and engineers interested in the intersection of VLSI design, computational neuroscience, and robotics, offering a tangible pathway from theoretical neural models to practical, chip-scale implementations.
Research Focus
Key Achievements
Top Papers
- 1