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Fang, C., Wang, C., Zhao, S., Tian, F., Yang, J., & Sawan, M. (2023). A 510 μW 0.738-mm² 6.2-pJ/SOP Online Learning Multi-Topology SNN Processor With Unified Computation Engine in 40-nm CMOS. IEEE Transactions on Biomedical Circuits and Systems, 17(3), 507-520. Lien externe
Wang, C., Fang, C., Zou, Y., Yang, J., & Sawan, M. (2023). SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses. Neural Networks, 164, 357-368. Lien externe
Xia, F., Li, H., Li, Y., Liu, X., Xu, Y., Fang, C., Hou, Q., Lin, S., Zhang, Z., Yang, J., & Sawan, M. (2023). Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea. Sensors, 23(21), 8882-8882. Lien externe
Zhao, S., Yang, J., Wang, J., Fang, C., Liu, T., Zhang, S., & Sawan, M. (2023). A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses. IEEE Transactions on Biomedical Circuits and Systems, 17(3), 598-609. Lien externe
Wang, C., Fang, C., Zou, Y., Yang, J., & Sawan, M. (2023). Artificial intelligence techniques for retinal prostheses: a comprehensive review and future direction [Commentaire ou lettre]. Journal of Neural Engineering, 20(1), 011003 (24 pages). Lien externe
Chen, J., Wu, H., Liu, X., Eskandari, R., Tian, F., Zou, W., Fang, C., Yang, J., & Sawan, M. (juin 2023). NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector [Communication écrite]. 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS 2023), Hangzhou, China (5 pages). Lien externe
Shen, Z., Tian, F., Jiang, J., Fang, C., Xue, X., Yang, J., & Sawan, M. (mai 2023). NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence [Communication écrite]. International Symposium on Circuits and Systems (ISCAS 2023), Monterey, CA, USA (5 pages). Lien externe
Wang, J., Zhao, S., Fang, C., Yang, J., & Sawan, M. (juin 2023). Live Demonstration: Real-time Analyses of Biosignals based on a Dedicated CMOS Configurable Deep Learning Engine [Communication écrite]. 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS 2023), Hangzhou, China (2 pages). Lien externe
