| Energy-efficient Mott activation neuron for full-hardware implementation of neural networks S Oh, Y Shi, J Del Valle, P Salev, Y Lu, Z Huang, Y Kalcheim, IK Schuller, ... Nature nanotechnology 16 (6), 680-687, 2021 | 136 | 2021 |
| Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays Y Shi, L Nguyen, S Oh, X Liu, F Koushan, JR Jameson, D Kuzum Nature communications 9 (1), 5312, 2018 | 119 | 2018 |
| A compact closed-loop optogenetics system based on artifact-free transparent graphene electrodes X Liu, Y Lu, E Iseri, Y Shi, D Kuzum Frontiers in neuroscience 12, 132, 2018 | 79 | 2018 |
| A soft-pruning method applied during training of spiking neural networks for in-memory computing applications Y Shi, L Nguyen, S Oh, X Liu, D Kuzum Frontiers in neuroscience 13, 405, 2019 | 55 | 2019 |
| The impact of resistance drift of phase change memory (PCM) synaptic devices on artificial neural network performance S Oh, Z Huang, Y Shi, D Kuzum IEEE Electron Device Letters 40 (8), 1325-1328, 2019 | 50 | 2019 |
| Drift-enhanced unsupervised learning of handwritten digits in spiking neural network with PCM synapses S Oh, Y Shi, X Liu, J Song, D Kuzum IEEE Electron Device Letters 39 (11), 1768-1771, 2018 | 41 | 2018 |
| Performance prospects of deeply scaled spin-transfer torque magnetic random-access memory for in-memory computing Y Shi, S Oh, Z Huang, X Lu, SH Kang, D Kuzum IEEE Electron Device Letters 41 (7), 1126-1129, 2020 | 36 | 2020 |
| Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge J Park, A Kumar, Y Zhou, S Oh, JH Kim, Y Shi, S Jain, G Hota, E Qiu, ... Nature Communications 15 (1), 3492, 2024 | 29 | 2024 |
| Multi-level, Forming Free, Bulk Switching Trilayer RRAM for Neuromorphic Computing at the Edge J Park, A Kumar, Y Zhou, S Oh, JH Kim, Y Shi, S Jain, G Hota, AL Nagle, ... arXiv preprint arXiv:2310.13844, 2023 | 29* | 2023 |
| Adaptive quantization as a device-algorithm co-design approach to improve the performance of in-memory unsupervised learning with SNNs Y Shi, Z Huang, S Oh, N Kaslan, J Song, D Kuzum IEEE Transactions on Electron Devices 66 (4), 1722-1728, 2019 | 13 | 2019 |
| A neuromorphic brain interface based on RRAM crossbar arrays for high throughput real-time spike sorting Y Shi, A Ananthakrishnan, S Oh, X Liu, G Hota, G Cauwenberghs, ... IEEE transactions on electron devices 69 (4), 2137-2144, 2021 | 10 | 2021 |
| High Throughput Neuromorphic Brain Interface with CuOx Resistive Crossbars for Real-time Spike Sorting Y Shi, A Ananthakrishnan, S Oh, X Liu, G Hota, G Cauwenberghs, ... 2021 IEEE International Electron Devices Meeting (IEDM), 16.5. 1-16.5. 4, 2021 | 9 | 2021 |
| Synaptic devices based on phase-change memory Y Shi, S Fong, HSP Wong, D Kuzum Neuro-inspired Computing Using Resistive Synaptic Devices, 19-51, 2017 | 9 | 2017 |
| Decoding ECoG high gamma power from cellular calcium response using transparent graphene microelectrodes X Liu, C Ren, Y Lu, R Hattori, Y Shi, R Zhao, D Ding, T Komiyama, ... 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 710-713, 2019 | 7 | 2019 |
| A Versatile and Efficient Neuromorphic Platform for Compute-in-Memory with Selector-less Memristive Crossbars S Jain, G Hota, Y Shi, S Oh, J Wu, P Fowler, D Kuzum, G Cauwenberghs 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2023 | 3 | 2023 |
| Integration of Ag-CBRAM crossbars and Mott ReLU neurons for efficient implementation of deep neural networks in hardware Y Shi, S Oh, J Park, J del Valle, P Salev, IK Schuller, D Kuzum Neuromorphic Computing and Engineering 3 (3), 034007, 2023 | 2 | 2023 |
| Neuro-inspired Computing Using Emerging Non-Volatile Memories Y Shi University of California, San Diego, 2023 | 1 | 2023 |
| (Invited) Device-Algorithm Codesign for Efficient Neuro-inspired Computing with Resistive Memory Devices D Kuzum, Y Shi, S Oh Electrochemical Society Meeting Abstracts prime2020, 2038-2038, 2020 | | 2020 |
| Drift-enhanced Unsupervised Learning with PCM Synapses Y Shi, S Oh, X Liu, D Kuzum 2018 76th Device Research Conference (DRC), 1-2, 2018 | | 2018 |
| (Invited) Phase Change Materials-based Synaptic Devices for Energy Efficient Implementation of Learning in Hardware Y Shi, D Kuzum Electrochemical Society Meeting Abstracts 231, 995-995, 2017 | | 2017 |
