| Two-terminal floating-gate transistors with a low-power memristive operation mode for analogue neuromorphic computing L Danial, E Pikhay, E Herbelin, N Wainstein, V Gupta, N Wald, Y Roizin, ... Nature Electronics 2 (12), 596-605, 2019 | 109 | 2019 |
| A memristive deep belief neural network based on silicon synapses W Wang, L Danial, Y Li, E Herbelin, E Pikhay, Y Roizin, B Hoffer, Z Wang, ... Nature Electronics 5 (12), 870-880, 2022 | 32 | 2022 |
| Efficient training of the memristive deep belief net immune to non‐idealities of the synaptic devices W Wang, B Hoffer, T Greenberg-Toledo, Y Li, M Zou, E Herbelin, R Ronen, ... Advanced Intelligent Systems 4 (5), 2100249, 2022 | 10 | 2022 |
| Physical based compact model of Y-Flash memristor for neuromorphic computation W Wang, L Danial, E Herbelin, B Hoffer, B Oved, T Greenberg-Toledo, ... Applied Physics Letters 119 (26), 2021 | 10 | 2021 |
| Rate-compatible and high-throughput architecture designs for encoding LDPC codes N Talati, Z Wang, S Kvatinsky 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 4 | 2017 |
| Supporting Information for" Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices" W Wang, B Hoffer, T Greenberg-Toledo, Y Li, M Zou, E Herbelin, R Ronen, ... Authorea Preprints, 2022 | | 2022 |
| Memristive deep belief neural network by silicon synapses. W Wang, L Danial, Y Li, E Herbelin, E Pikhay, Y Roizin, B Hoffer, Z Wang, ... CoRR, 2022 | | 2022 |
