Search Results - "Payvand, M"

A multiply-add engine with monolithically integrated 3D memristor crossbar/CMOS hybrid circuit by Chakrabarti, B., Lastras-Montaño, M. A., Adam, G., Prezioso, M., Hoskins, B., Payvand, M., Madhavan, A., Ghofrani, A., Theogarajan, L., Cheng, K.-T., Strukov, D. B.

“…Silicon (Si) based complementary metal-oxide semiconductor (CMOS) technology has been the driving force of the information-technology revolution. However,…”
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Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks by Moro, Filippo, Esmanhotto, E., Hirtzlin, T., Castellani, N., Trabelsi, A., Dalgaty, T., Molas, G., Andrieu, F., Brivio, S., Spiga, S., Indiveri, G., Payvand, M., Vianello, E.

“…Spiking Neural Networks (SNNs) can unleash the full power of analog Resistive Random Access Memories (RRAMs) based circuits for low power signal processing…”
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Corrigendum: A multiply-add engine with monolithically integrated 3D memristor crossbar/CMOS hybrid circuit by Chakrabarti, B, Lastras-Montaño, M A, Adam, G, Prezioso, M, Hoskins, B, Payvand, M, Madhavan, A, Ghofrani, A, Theogarajan, L, Cheng, K-T, Strukov, D B

“…This corrects the article DOI: 10.1038/srep42429…”
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Synaptic metaplasticity with multi-level memristive devices by D'Agostino, S., Moro, F., Hirtzlin, T., Arcamone, J., Castellani, N., Querlioz, D., Payvand, M., Vianello, E.

“…Deep learning has made remarkable progress in various tasks, surpassing human performance in some cases. However, one drawback of neural networks is…”
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Correction: Corrigendum: A multiply-add engine with monolithically integrated 3D memristor crossbar/CMOS hybrid circuit by Chakrabarti, B., Lastras-Montaño, M. A., Adam, G., Prezioso, M., Hoskins, B., Payvand, M., Madhavan, A., Ghofrani, A., Theogarajan, L., Cheng, K.-T., Strukov, D. B.

“…Scientific Reports 7: Article number: 42429; published online: 14 February 2017; updated: 27 July 2017. M. Payvand, A. Madhavan, A. Ghofrani and L. Theogarajan…”
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Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks by Moro, Filippo, Esmanhotto, E, Hirtzlin, T, Castellani, N, Trabelsi, A, Dalgaty, T, Molas, G, Andrieu, F, Brivio, S, Spiga, S, Indiveri, G, Payvand, M, Vianello, E

“…Spiking Neural Networks (SNNs) can unleash the full power of analog Resistive Random Access Memories (RRAMs) based circuits for low power signal processing…”
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The Effect of a High Dose of Atorvastatin on the Occurrence of Atrial Fibrillation After Coronary Artery Bypass Grafting by Karimi, Abasali, MD, Bidhendi, Leila Mohammadi, MD, Rezvanfard, Mehrnaz, MD, Bina, Payvand, MD, Yousefi, Arezou, MD, Molai, Maliheh, MD, Zare, Elmira, MD, Fathollahi, Mahmood Sheikh, PhD, Sadeghian, Saeed, MD

“…Background Recent studies have suggested that statins reduce the incidence of atrial fibrillation (AF) after cardiac operations. Statin therapy at intensive…”
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