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Li, N., Sawan, M., & Wang, L. (novembre 2019). An efficient adaptive online neural spikes detection and classification engine based on Bayesian inference [Communication écrite]. 6th International Conference on Systems and Informatics (ICSAI 2019), Shanghai, China. Lien externe
Li, N. (2016). Compressive Sensing and Multichannel Spike Detection for Neuro-Recording Systems [Thèse de doctorat, École Polytechnique de Montréal]. Disponible
Li, N., Osborn, M., Wang, G., & Sawan, M. (2016). A digital multichannel neural signal processing system using compressed sensing. Digital Signal Processing: A Review Journal, 55, 64-77. Lien externe
Li, N., Osborn, M., Sawan, M., & Fang, L. (mai 2016). Using template matching and compressed sensing techniques to enhance performance of neural spike detection and data compression systems [Communication écrite]. IEEE International Symposium on Circuits and Systems (ISCAS 2016), Montréal, Québec. Lien externe
Li, N., & Sawan, M. (2015). Neural signal compression using a minimum Euclidean or Manhattan distance cluster-based deterministic compressed sensing matrix. Biomedical Signal Processing and Control, 19, 44-55. Lien externe
Semmaoui, H., Li, N., Hosseini-Khayat, S., Martinez-Trujillo, J.C., & Sawan, M. (2015). An adaptive recovery method in compressed sensing of extracellular neural recording. Journal of Neurology and Neuroscience, 6(2), 19 (11 pages). Disponible
