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A pioneering research team from the University of Electronic Science and Technology of China (UESTC), specializing in brain-machine interaction, has successfully published a series of groundbreaking papers on brain-inspired computing and spiking neural networks (SNNs) in the esteemed AI journal, IEEE Transactions on Neural Networks and Learning Systems. This team is part of the Sino-Cuba Brain-Machine Interaction Laboratory and the School of Life Science and Technology at UESTC. Notably, UESTC is credited as the lead institution for this research, with doctoral student Cai Wuque as the primary author and Professors Guo Daqing and Yao Dezhong serving as co-corresponding authors. This significant work was funded by the National Key Research and Development Program, highlighting UESTC's profound and cutting-edge research capabilities in the realm of brain-inspired computing.
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