Research output per year
Research output per year
- 16 results
Search results
-
2023
Ultra-low power neuromorphic obstacle detection using a two-dimensional materials-based subthreshold transistor
Thakar, K., Rajendran, B. & Lodha, S., 18 Sept 2023, (E-pub ahead of print) In: npj 2D Materials and Applications. 7, 1, 68.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (Scopus) -
2022
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning
Rosenfeld, B., Simeone, O. & Rajendran, B., 1 Nov 2022, In: IEEE TRANSACTIONS ON COMPUTERS. 71, 11, p. 2778-2791Research output: Contribution to journal › Article › peer-review
Open AccessFile17 Citations (Scopus)68 Downloads (Pure) -
2020
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., 1 Dec 2020, In: Nature Communications. 11, 1, 2473.Research output: Contribution to journal › Article › peer-review
Open AccessFile336 Citations (Scopus)172 Downloads (Pure) -
Bio-mimetic synaptic plasticity and learning in a sub-500 mV Cu/SiO2/W memristor
Nandakumar, S. R. & Rajendran, B., 1 Apr 2020, In: MICROELECTRONIC ENGINEERING. 226, 111290.Research output: Contribution to journal › Article › peer-review
12 Citations (Scopus) -
Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses
Nandakumar, S. R., Boybat, I., Le Gallo, M., Eleftheriou, E., Sebastian, A. & Rajendran, B., 1 Dec 2020, In: Scientific Reports. 10, 1, 8080.Research output: Contribution to journal › Article › peer-review
Open Access65 Citations (Scopus) -
Kinetic Monte Carlo Simulation of Interface-Controlled Hafnia-Based Resistive Memory
Xu, X., Rajendran, B. & Anantram, M. P., Jan 2020, In: IEEE TRANSACTIONS ON ELECTRON DEVICES. 67, 1, p. 118-124 7 p., 8933359.Research output: Contribution to journal › Article › peer-review
16 Citations (Scopus) -
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
Mehonic, A., Sebastian, A., Rajendran, B., Simeone, O., Vasilaki, E. & Kenyon, A. J., 20 Jun 2020, (Accepted/In press) In: Advanced Intelligent Systems .Research output: Contribution to journal › Article › peer-review
Open Access -
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., Antonakopoulos, T., Rajendran, B., Sebastian, A. & Eleftheriou, E., 12 May 2020, In: Frontiers in Neuroscience. 14, 406.Research output: Contribution to journal › Article › peer-review
Open Access80 Citations (Scopus) -
Training multi-layer spiking neural networks using NormAD based spatio-temporal error backpropagation
Anwani, N. & Rajendran, B., 7 Mar 2020, In: NEUROCOMPUTING. 380, p. 67-77 11 p.Research output: Contribution to journal › Article › peer-review
17 Citations (Scopus) -
2019
Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches
Rajendran, B., Sebastian, A., Schmuker, M., Srinivasa, N. & Eleftheriou, E., Nov 2019, In: IEEE SIGNAL PROCESSING MAGAZINE. 36, 6, p. 97-110 14 p., 8888024.Research output: Contribution to journal › Article › peer-review
128 Citations (Scopus) -
2018
A phase-change memory model for neuromorphic computing
Nandakumar, S. R., Le Gallo, M., Boybat, I., Rajendran, B., Sebastian, A. & Eleftheriou, E., 21 Oct 2018, In: Journal of Applied Physics. 124, 15, 152135.Research output: Contribution to journal › Article › peer-review
131 Citations (Scopus) -
Building brain-inspired computing systems: Examining the role of nanoscale devices
Nandakumar, S. R., Kulkarni, S. R., Babu, A. V. & Rajendran, B., Sept 2018, In: IEEE Nanotechnology Magazine. 12, 3, p. 19-35 17 p., 8438410.Research output: Contribution to journal › Article › peer-review
34 Citations (Scopus) -
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., Dec 2018, In: Nature Communications. 9, 1, 2514.Research output: Contribution to journal › Article › peer-review
Open AccessFile662 Citations (Scopus)180 Downloads (Pure) -
Spiking neural networks for handwritten digit recognition—Supervised learning and network optimization
Kulkarni, S. R. & Rajendran, B., Jul 2018, In: Neural Networks. 103, p. 118-127 10 p.Research output: Contribution to journal › Article › peer-review
133 Citations (Scopus) -
Stochastic learning in deep neural networks based on nanoscale PCMO device characteristics
Babu, A. V., Lashkare, S., Ganguly, U. & Rajendran, B., 10 Dec 2018, In: NEUROCOMPUTING. 321, p. 227-236 10 p.Research output: Contribution to journal › Article › peer-review
12 Citations (Scopus) -
2016
A 250 mV Cu/SiO2/W Memristor with Half-Integer Quantum Conductance States
Nandakumar, S. R., Minvielle, M., Nagar, S., Dubourdieu, C. & Rajendran, B., 9 Mar 2016, In: Nano Letters. 16, 3, p. 1602-1608 7 p.Research output: Contribution to journal › Article › peer-review
106 Citations (Scopus)