| Deeptempo: a hardware-friendly direct feedback alignment multi-layer tempotron learning rule for deep spiking neural networks C Shi, T Wang, J He, J Zhang, L Liu, N Wu IEEE Transactions on Circuits and Systems II: Express Briefs 68 (5), 1581-1585, 2021 | 29 | 2021 |
| CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features T Wang, C Shi, X Zhou, Y Lin, J He, P Gan, P Li, Y Wang, L Liu, N Wu, ... Neurocomputing 425, 96-106, 2021 | 25 | 2021 |
| TripleBrain: A compact neuromorphic hardware core with fast on-chip self-organizing and reinforcement spike-timing dependent plasticity H Wang, Z He, T Wang, J He, X Zhou, Y Wang, L Liu, N Wu, M Tian, C Shi IEEE Transactions on Biomedical Circuits and Systems 16 (4), 636-650, 2022 | 24 | 2022 |
| A low-cost FPGA implementation of spiking extreme learning machine with on-chip reward-modulated STDP learning Z He, C Shi, T Wang, Y Wang, M Tian, X Zhou, P Li, L Liu, N Wu, G Luo IEEE Transactions on Circuits and Systems II: Express Briefs 69 (3), 1657-1661, 2021 | 21 | 2021 |
| High-accuracy deep ANN-to-SNN conversion using quantization-aware training framework and calcium-gated bipolar leaky integrate and fire neuron H Gao, J He, H Wang, T Wang, Z Zhong, J Yu, Y Wang, M Tian, C Shi Frontiers in Neuroscience 17, 1141701, 2023 | 20 | 2023 |
| MorphBungee: An edge neuromorphic chip for high-accuracy on-chip learning of multiple-layer spiking neural networks T Wang, H Wang, J He, Z Zhong, F Tang, X Zhou, SM Yu, L Liu, N Wu, ... 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 255-259, 2022 | 9 | 2022 |
| An Edge Neuromorphic Hardware With Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes C Shi, J Zhang, T Wang, Z Zhong, J He, H Gao, J Yu, P Li, M Tian IEEE Transactions on Circuits and Systems II: Express Briefs 70 (7), 2665-2669, 2023 | 7 | 2023 |
| A high-speed low-cost VLSI system capable of on-chip online learning for dynamic vision sensor data classification W He, J Huang, T Wang, Y Lin, J He, X Zhou, P Li, Y Wang, N Wu, C Shi Sensors 20 (17), 4715, 2020 | 7 | 2020 |
| MorphBungee: A 65-nm 7.2-mm2 27-μJ/image Digital Edge Neuromorphic Chip with On-Chip 802-frame/s Multi-Layer Spiking Neural Network Learning T Wang, M Tian, H Wang, Z Zhong, J He, F Tang, X Zhou, Y Lin, SM Yu, ... IEEE Transactions on Biomedical Circuits and Systems, 2024 | 6 | 2024 |
| A heterogeneous spiking neural network for computationally efficient face recognition X Zhou, Z Zhou, Z Zhong, J Yu, T Wang, M Tian, Y Jiang, C Shi 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 3 | 2021 |
| TEDOP: A Tiny Event-Driven Neural Network Hardware Core Enabling On-Chip Spike-Driven Synaptic Plasticity C Shi, S Chen, H Wana, Z Zhona, P Li, J He, T Wang, J Yu, M Tian 2022 IEEE International Conference on Integrated Circuits, Technologies and …, 2022 | 2 | 2022 |
| TripleBrain: An edge neuromorphic architecture for High-accuracy single-layer spiking neural network with on-chip Self-organizing and reinforcement learning H Wang, Z He, J Rao, T Wang, J He, M Tian, X Zhou, L Liu, N Wu, C Shi 2021 IEEE International Conference on Integrated Circuits, Technologies and …, 2021 | 2 | 2021 |
| Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip Z Zhong, T Wang, H Wang, Z Zhou, J He, F Tang, X Zhou, SM Yu, L Liu, ... 2023 IEEE 5th International Conference on Artificial Intelligence Circuits …, 2023 | 1 | 2023 |
| A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning J He, M Tian, Y Jiang, H Wang, T Wang, X Zhou, L Liu, N Wu, Y Wang, ... Computers and Electrical Engineering 120, 109806, 2024 | | 2024 |
| MorphBungee-Lite: An Edge Neuromorphic Architecture With Balanced Cross-Core Workloads Based on Layer-Wise Event-Batch Learning/Inference Z Zhong, H Wang, M Chen, Y Lin, M Tian, T Wang, L Liu, C Shi IEEE Transactions on Circuits and Systems II: Express Briefs, 2024 | | 2024 |
| A Configurable On-Chip Spike Encoding Network Based on Dual-Mode Integrate & Fire Neurons Z Zhong, Y Tuo, H Wang, T Wang, J He, S Chen, M Tian, C Shi 2023 IEEE 6th Information Technology, Networking, Electronic and Automation …, 2023 | | 2023 |
