| 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 | 75 | 2020 |
| 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 | 41 | 2019 |
| Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits L Khacef, P Klein, M Cartiglia, A Rubino, G Indiveri, E Chicca Neuromorphic Computing and Engineering 3 (4), 042001, 2023 | 22 | 2023 |
| Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems M Cartiglia, A Rubino, S Narayanan, C Frenkel, G Haessig, G Indiveri, ... 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 476-480, 2022 | 11 | 2022 |
| Flexible Unipolar IGZO Transistor-Based Integrate and Fire Neurons for Spiking Neuromorphic Applications A Lebanov, MV Lopez, F De Roose, NP Papadopoulos, G Indiveri, ... IEEE Transactions on Biomedical Circuits and Systems, 2023 | 4 | 2023 |
| SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders S Narayanan, M Cartiglia, A Rubino, C Lego, C Frenkel, G Indiveri 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-5, 2023 | 3 | 2023 |
| Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks A Rubino, M Cartiglia, M Payvand, G Indiveri 2023 IEEE 5th International Conference on Artificial Intelligence Circuits …, 2023 | 3 | 2023 |
| 22 dB Signal-to-Noise Ratio Real-Time Proton Sound Detector for Experimental Beam Range Verification........................................... EA Vallicelli, A. Baschirotto, S … A Rubino, C Livanelioglu, N Qiao, M Payvand, G Indiveri, E Wittenhagen, ... | | |
