| Hardware implementation of deep network accelerators towards healthcare and biomedical applications MR Azghadi, C Lammie, JK Eshraghian, M Payvand, E Donati, ... IEEE Transactions on Biomedical Circuits and Systems 14 (6), 1138-1159, 2020 | 160 | 2020 |
| Hand-gesture recognition based on EMG and event-based camera sensor fusion: A benchmark in neuromorphic computing E Ceolini, C Frenkel, SB Shrestha, G Taverni, L Khacef, M Payvand, ... Frontiers in neuroscience 14, 520438, 2020 | 158 | 2020 |
| Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing RA John, Y Demirağ, Y Shynkarenko, Y Berezovska, N Ohannessian, ... Nature communications 13 (1), 2074, 2022 | 123 | 2022 |
| A multiply-add engine with monolithically integrated 3D memristor crossbar/CMOS hybrid circuit B Chakrabarti, MA Lastras-Montaño, G Adam, M Prezioso, B Hoskins, ... Scientific reports 7 (1), 42429, 2017 | 113 | 2017 |
| Discrimination of EMG signals using a neuromorphic implementation of a spiking neural network E Donati, M Payvand, N Risi, R Krause, G Indiveri IEEE transactions on biomedical circuits and systems 13 (5), 795-803, 2019 | 110 | 2019 |
| Adaptive extreme edge computing for wearable devices E Covi, E Donati, X Liang, D Kappel, H Heidari, M Payvand, W Wang Frontiers in Neuroscience 15, 611300, 2021 | 102 | 2021 |
| A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation M Payvand, MV Nair, LK Müller, G Indiveri Faraday Discussions 213, 487-510, 2019 | 91 | 2019 |
| Ultra-low-power FDSOI neural circuits for extreme-edge neuromorphic intelligence A Rubino, C Livanelioglu, N Qiao, M Payvand, G Indiveri IEEE Transactions on Circuits and Systems I: Regular Papers 68 (1), 45-56, 2020 | 70 | 2020 |
| Processing EMG signals using reservoir computing on an event-based neuromorphic system E Donati, M Payvand, N Risi, R Krause, K Burelo, G Indiveri, T Dalgaty, ... 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018 | 44 | 2018 |
| Hybrid neuromorphic circuits exploiting non-conventional properties of RRAM for massively parallel local plasticity mechanisms T Dalgaty, M Payvand, F Moro, DRB Ly, F Pebay-Peyroula, J Casas, ... APL Materials 7 (8), 2019 | 41 | 2019 |
| Ultra-low power silicon neuron circuit for extreme-edge neuromorphic intelligence A Rubino, M Payvand, G Indiveri 2019 26th IEEE International Conference on Electronics, Circuits and Systems …, 2019 | 39 | 2019 |
| Utilizing the switching stochasticity of HfO2/TiOx-based ReRAM devices and the concept of multiple device synapses for the classification of overlapping and noisy patterns C Bengel, F Cüppers, M Payvand, R Dittmann, R Waser, ... Frontiers in neuroscience 15, 661856, 2021 | 36 | 2021 |
| PCM-trace: scalable synaptic eligibility traces with resistivity drift of phase-change materials Y Demirağ, F Moro, T Dalgaty, G Navarro, C Frenkel, G Indiveri, ... 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 31 | 2021 |
| Error-triggered three-factor learning dynamics for crossbar arrays M Payvand, ME Fouda, F Kurdahi, A Eltawil, EO Neftci 2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020 | 29 | 2020 |
| Self-organization of an inhomogeneous memristive hardware for sequence learning M Payvand, F Moro, K Nomura, T Dalgaty, E Vianello, Y Nishi, G Indiveri Nature communications 13 (1), 5793, 2022 | 28 | 2022 |
| On-chip error-triggered learning of multi-layer memristive spiking neural networks M Payvand, ME Fouda, F Kurdahi, AM Eltawil, EO Neftci IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (4 …, 2020 | 28 | 2020 |
| Neuromorphic object localization using resistive memories and ultrasonic transducers MPEV Filippo Moro, Emmanuel Hardy, Bruno Fain, Thomas Dalgaty, Paul ... Nature Communications 13, 2022 | 27 | 2022 |
| Analog weight updates with compliance current modulation of binary ReRAMs for on-chip learning M Payvand, Y Demirag, T Dalgaty, E Vianello, G Indiveri 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 25 | 2020 |
| A CMOS-memristive self-learning neural network for pattern classification applications M Payvand, J Rofeh, A Sodhi, L Theogarajan Proceedings of the 2014 IEEE/ACM International Symposium on Nanoscale …, 2014 | 25 | 2014 |
| Spike-based plasticity circuits for always-on on-line learning in neuromorphic systems M Payvand, G Indiveri 2019 IEEE international symposium on circuits and systems (ISCAS), 1-5, 2019 | 24 | 2019 |
Giacomo IndiveriInstitute of Neuroinformatics, University of Zurich and ETH Zurich在 ini.uzh.ch 的电子邮件经过验证
