Lee, Byung-Geun

Neuromorphic Hardware System for Visual Pattern Recognition With Memristor Array and CMOS Neuron

Chu, M., Kim, B., Park, S., Hwang, H., Jeon, M., Lee, B. H., & Lee, B.-G. (2015) · IEEE Transactions on Industrial Electronics

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

Cited by 296

Electronic system with memristive synapses for pattern recognition

Park, S., Chu, M., Kim, J., Noh, J., Jeon, M., Hun Lee, B., Hwang, H., Lee, B., & Lee, B.-G. (2015) · Scientific Reports

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 181

Nanoscale RRAM-based synaptic electronics: toward a neuromorphic computing device

Park, S., Noh, J., Choo, M.-L., Sheri, A. M., Chang, M., Kim, Y.-B., Kim, C. J., Jeon, M., Lee, B.-G., Lee, B. H., et al. (2013) · Nanotechnology

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 139

Stuck-at-Fault Tolerant Schemes for Memristor Crossbar Array-Based Neural Networks

Yeo, I., Chu, M., Gi, S.-G., Hwang, H., & Lee, B.-G. (2019) · IEEE Transactions on Electron Devices

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 55

Framework for In-Memory Computing Based on Memristor and Memcapacitor for On-Chip Training

Singh, A., & Lee, B.-G. (2023) · IEEE Access

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 19