Accurate deep neural network inference using computational phase-change memory von Joshi, Vinay, Le Gallo, Manuel, Haefeli, Simon, Boybat, Irem, Nandakumar, S. R., Piveteau, Christophe, Dazzi, Martino, Rajendran, Bipin, Sebastian, Abu, Eleftheriou, Evangelos

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A phase-change memory model for neuromorphic computing von Nandakumar, S. R., Le Gallo, Manuel, Boybat, Irem, Rajendran, Bipin, Sebastian, Abu, Eleftheriou, Evangelos

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Neuromorphic computing with multi-memristive synapses von Boybat, Irem, Le Gallo, Manuel, Nandakumar, S. R., Moraitis, Timoleon, Parnell, Thomas, Tuma, Tomas, Rajendran, Bipin, Leblebici, Yusuf, Sebastian, Abu, Eleftheriou, Evangelos

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Neuromorphic Computing Based on Emerging Memory Technologies von Rajendran, Bipin, Alibart, Fabien

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Training multi-layer spiking neural networks using NormAD based spatio-temporal error backpropagation von Anwani, Navin, Rajendran, Bipin

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Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses von Nandakumar, S. R., Boybat, Irem, Le Gallo, Manuel, Eleftheriou, Evangelos, Sebastian, Abu, Rajendran, Bipin

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Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing von Mehonic, Adnan, Sebastian, Abu, Rajendran, Bipin, Simeone, Osvaldo, Vasilaki, Eleni, Kenyon, Anthony J.

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Mixed-Precision Deep Learning Based on Computational Memory von Nandakumar, S R, Le Gallo, Manuel, Piveteau, Christophe, Joshi, Vinay, Mariani, Giovanni, Boybat, Irem, Karunaratne, Geethan, Khaddam-Aljameh, Riduan, Egger, Urs, Petropoulos, Anastasios, Antonakopoulos, Theodore, Rajendran, Bipin, Sebastian, Abu, Eleftheriou, Evangelos

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Novel synaptic memory device for neuromorphic computing von Mandal, Saptarshi, El-Amin, Ammaarah, Alexander, Kaitlyn, Rajendran, Bipin, Jha, Rashmi

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Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms von Pantazi, Angeliki, Rajendran, Bipin, Simeone, Osvaldo, Neftci, Emre

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Ultra-low power neuromorphic obstacle detection using a two-dimensional materials-based subthreshold transistor von Thakar, Kartikey, Rajendran, Bipin, Lodha, Saurabh

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Programming Current Reduction via Enhanced Asymmetry-Induced Thermoelectric Effects in Vertical Nanopillar Phase-Change Memory Cells von Bahl, Jyotsna, Rajendran, Bipin, Muralidharan, Bhaskaran

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Nanoscale electronic synapses using phase change devices von Jackson, Bryan L., Rajendran, Bipin, Corrado, Gregory S., Breitwisch, Matthew, Burr, Geoffrey W., Cheek, Roger, Gopalakrishnan, Kailash, Raoux, Simone, Rettner, Charles T., Padilla, Alvaro, Schrott, Alex G., Shenoy, Rohit S., Kurdi, Bülent N., Lam, Chung H., Modha, Dharmendra S.

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Spiking neural networks for handwritten digit recognition—Supervised learning and network optimization von Kulkarni, Shruti R., Rajendran, Bipin

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Efficient scrub mechanisms for error-prone emerging memories von Awasthi, M., Shevgoor, M., Sudan, K., Rajendran, B., Balasubramonian, R., Srinivasan, V.

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Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning von Rosenfeld, Bleema, Simeone, Osvaldo, Rajendran, Bipin

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Arbitrary Spike Time Dependent Plasticity (STDP) in Memristor by Analog Waveform Engineering von Panwar, Neeraj, Rajendran, Bipin, Ganguly, Udayan

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Treatment of Primary Central Nervous System Posttransplant Lymphoproliferative Disorder in an Adult Kidney Transplant Recipient: A Case Report von Abbassi, Mashya, Riley, Roger, Malkin, Mark, Tang, Yang, Rajendran, Bipin, Yazbeck, Victor

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Low Thermal Budget Processing for Sequential 3-D IC Fabrication von Rajendran, Bipin, Shenoy, Rohit S., Witte, Daniel J., Chokshi, Nehal S., DeLeon, Robert L., Tompa, Gary S., Pease, R. Fabian W.

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Kinetic Monte Carlo Simulation of Interface-Controlled Hafnia-Based Resistive Memory von Xu, Xu, Rajendran, Bipin, Anantram, M. P.

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