Querlioz, Damien
Centre National de la Recherche Scientifique · Université Paris-Saclay · Centre de Nanosciences et de Nanotechnologies
10 papers on CoChatORCID 0000-0002-0295-1008
Most cited papers
- Verified
Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems
Vincent, A. F., Larroque, J., Locatelli, N., Ben Romdhane, N., Bichler, O., Gamrat, C., Zhao, W. S., Klein, J.-O., Galdin-Retailleau, S., & Querlioz, D. (2015) · IEEE Transactions on Biomedical Circuits and Systems
Advanced Memory and Neural ComputingMagnetic properties of thin films
Cited by 360
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Phase change memory as synapse for ultra-dense neuromorphic systems: Application to complex visual pattern extraction
Suri, M., Bichler, O., Querlioz, D., Cueto, O., Perniola, L., Sousa, V., Vuillaume, D., Gamrat, C., & DeSalvo, B. (2011) · 2011 International Electron Devices Meeting
Advanced Memory and Neural ComputingPhase-change materials and chalcogenides
Cited by 314
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Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses
Suri, M., Querlioz, D., Bichler, O., Palma, G., Vianello, E., Vuillaume, D., Gamrat, C., & DeSalvo, B. (2013) · IEEE Transactions on Electron Devices
Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing
Cited by 229
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Synchronous Non-Volatile Logic Gate Design Based on Resistive Switching Memories
Zhao, W., Moreau, M., Deng, E., Zhang, Y., Portal, J.-M., Klein, J.-O., Bocquet, M., Aziza, H., Deleruyelle, D., Muller, C., et al. (2014) · IEEE Transactions on Circuits and Systems I: Regular Papers
Advanced Memory and Neural ComputingLow-power high-performance VLSI design
Cited by 120
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In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural Networks
Bocquet, M., Hirztlin, T., Klein, J.-O., Nowak, E., Vianello, E., Portal, J.-M., & Querlioz, D. (2018) · 2018 IEEE International Electron Devices Meeting (IEDM)
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 99
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Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays
Hirtzlin, T., Bocquet, M., Penkovsky, B., Klein, J.-O., Nowak, E., Vianello, E., Portal, J.-M., & Querlioz, D. (2020) · Frontiers in Neuroscience
Advanced Memory and Neural ComputingLow-power high-performance VLSI design
Cited by 93
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Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell
Jebali, F., Majumdar, A., Turck, C., Harabi, K.-E., Faye, M.-C., Muhr, E., Walder, J.-P., Bilousov, O., Michaud, A., Vianello, E., et al. (2024) · Nature Communications
Advanced Memory and Neural ComputingLow-power high-performance VLSI design
Cited by 58
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A memristor-based Bayesian machine
Harabi, K.-E., Hirtzlin, T., Turck, C., Vianello, E., Laurent, R., Droulez, J., Bessière, P., Portal, J.-M., Bocquet, M., & Querlioz, D. (2022) · Nature Electronics
Advanced Memory and Neural ComputingNeural Networks and Applications
Cited by 58
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Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks
Hirtzlin, T., Bocquet, M., Klein, J.-O., Nowak, E., Vianello, E., Portal, J.-M., & Querlioz, D. (2019) · 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 51
- Verified
Using the Accelerometers Integrated in Smartphones to Evaluate Essential Tremor
Senova, S., Querlioz, D., Thiriez, C., Jedynak, P., Jarraya, B., & Palfi, S. (2015) · Stereotactic and Functional Neurosurgery
Deep Brain Stimulation and Movement DisordersMotor Control and Adaptation
Cited by 24
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