| In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks G Milano, G Pedretti, K Montano, S Ricci, S Hashemkhani, L Boarino, ... Nature materials 21 (2), 195-202, 2022 | 230 | 2022 |
| A spiking recurrent neural network with phase-change memory neurons and synapses for the accelerated solution of constraint satisfaction problems G Pedretti, P Mannocci, S Hashemkhani, V Milo, O Melnic, E Chicca, ... IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 6 …, 2020 | 31 | 2020 |
| Memtransistor Devices Based on MoS2 Multilayers with Volatile Switching due to Ag Cation Migration M Farronato, M Melegari, S Ricci, S Hashemkhani, A Bricalli, D Ielmini Advanced Electronic Materials 8 (8), 2101161, 2022 | 24 | 2022 |
| Hardware implementation of PCM-based neurons with self-regulating threshold for homeostatic scaling in unsupervised learning I Muńoz-Martín, S Bianchi, S Hashemkhani, G Pedretti, D Ielmini 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 14 | 2020 |
| Forming‐Free Resistive Switching Memory Crosspoint Arrays for In‐Memory Machine Learning S Ricci, P Mannocci, M Farronato, S Hashemkhani, D Ielmini Advanced Intelligent Systems 4 (8), 2200053, 2022 | 13 | 2022 |
| A CMOS–memristor hybrid system for implementing stochastic binary spike timing-dependent plasticity J Ahmadi-Farsani, S Ricci, S Hashemkhani, D Ielmini, B Linares-Barranco, ... Philosophical Transactions of the Royal Society A 380 (2228), 20210018, 2022 | 11 | 2022 |
| A brain-inspired homeostatic neuron based on phase-change memories for efficient neuromorphic computing I Muñoz-Martin, S Bianchi, S Hashemkhani, G Pedretti, O Melnic, D Ielmini Frontiers in Neuroscience 15, 709053, 2021 | 11 | 2021 |
| A bio-inspired recurrent neural network with self-adaptive neurons and PCM synapses for solving reinforcement learning tasks S Bianchi, I Muńoz-Martín, S Hashemkhani, G Pedretti, D Ielmini 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 9 | 2020 |
| A spiking recurrent neural network with phase change memory synapses for decision making G Pedretti, V Milo, S Hashemkhani, P Mannocci, O Melnic, E Chicca, ... 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 3 | 2020 |
| Robot Locomotion Control Using Central Pattern Generator with Non-linear Bio-mimetic Neurons VS Vivekanand, S Hashemkhani, S Venkatachalam, R Kubendran 2023 9th International Conference on Automation, Robotics and Applications …, 2023 | 2 | 2023 |
| Robot Locomotion through Tunable Bursting Rhythms using Efficient Bio-mimetic Neural Networks on Loihi and Arduino Platforms VS Vivekanand, S Chopra, S Hashemkhani, R Chinnakonda Kubendran Proceedings of the 2023 International Conference on Neuromorphic Systems, 1-7, 2023 | 1 | 2023 |
| Neuromorphic networks using nonlinear mixed-feedback multi-timescale bio-mimetic neurons K Liu, S Hashemkhani, J Rubin, R Kubendran 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | 1 | 2023 |
| A hybrid memristor/cmos snn for implementing one-shot winner-takes-all training J Ahmadi-Farsani, S Ricci, S Hashemkhani, D Ielmini, B Linares-Barranco, ... 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 210-214, 2022 | 1 | 2022 |
| BioNN: Bio-mimetic Neural Networks on Hardware using Nonlinear Multi-timescale Mixed-feedback Control for Neuromodulatory Bursting Rhythms K Liu, S Hashemkhani, J Rubin, R Kubendran IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023 | | 2023 |
| Memtransistor Devices Based on MoS2 Multilayers with Volatile Switching due to Ag Cation Migration (Adv. Electron. Mater. 8/2022). M Farronato, M Melegari, S Ricci, S Hashemkhani, A Bricalli, D Ielmini Advanced Electronic Materials 8 (8), 2022 | | 2022 |
| In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks-Dataset G Milano, G Pedretti, K Montano, S Ricci, S Hashemkhani, L Boarino, ... | | 2021 |
| Development and experimental demonstration of spiking neural network with phase change memory (PCM) for constraint satisfaction problem (CSP) S HASHEMKHANI Politecnico di Milano, 2018 | | 2018 |
| RECENT PROGRESSES OF IN-MEMORY COMPUTING: MATERIALS, DEVICES AND ARCHITECTURES D Ielmini, F Sancandi, M Farronato, S Hashemkhani, S Ricci, M Baldo, ... BOOK OF ABSTRACTS, 23, 0 | | |
