Rajendran, Bipin

Neuromorphic computing with multi-memristive synapses

Boybat, I., Le Gallo, M., Nandakumar, S. R., Moraitis, T., Parnell, T., Tuma, T., Rajendran, B., Leblebici, Y., Sebastian, A., & Eleftheriou, E. (2018) · Nature Communications

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

Cited by 899

Accurate deep neural network inference using computational phase-change memory

Joshi, V., Le Gallo, M., Haefeli, S., Boybat, I., Nandakumar, S. R., Piveteau, C., Dazzi, M., Rajendran, B., Sebastian, A., & Eleftheriou, E. (2020) · Nature Communications

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 490

Mixed-Precision Deep Learning Based on Computational Memory

Nandakumar, S. R., Le Gallo, M., Piveteau, C., Joshi, V., Mariani, G., Boybat, I., Karunaratne, G., Khaddam-Aljameh, R., Egger, U., Petropoulos, A., et al. (2020) · Frontiers in Neuroscience

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 120

Phase-Change Memory Models for Deep Learning Training and Inference

Nandakumar, S. R., Boybat, I., Joshi, V., Piveteau, C., Le Gallo, M., Rajendran, B., Sebastian, A., & Eleftheriou, E. (2019) · 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

Advanced Memory and Neural ComputingPhase-change materials and chalcogenides

Cited by 34

Neuromorphic Hardware Accelerator for SNN Inference based on STT-RAM Crossbar Arrays

Kulkarni, S. R., Kadetotad, D. V., Yin, S., Seo, J.-S., & Rajendran, B. (2019) · 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 23

Supervised learning in spiking neural networks with MLC PCM synapses

Nandakumar, S. R., Boybat, I., Le Gallo, M., Sebastian, A., Rajendran, B., & Eleftheriou, E. (2017) · 2017 75th Annual Device Research Conference (DRC)

Advanced Memory and Neural ComputingNeural dynamics and brain function

Cited by 13