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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
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
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, 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
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
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
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
