脑机接口与科技自强•智能创新与未来趋势专题论坛在京举办

Core Insights - The forum focused on the strategic significance of brain-computer interface (BCI) technology in future technological development and industrial transformation [1] - Nearly a hundred experts and scholars from various fields participated, discussing the latest research and clinical applications of BCI technology [1] Group 1: Forum Overview - The 27th China Association for Science and Technology Annual Conference featured a specialized forum on brain-computer interfaces and intelligent innovation [1] - The forum was hosted by the China Association for Science and Technology and organized by the Chinese Rehabilitation Medicine Association [1] Group 2: Key Presentations - Zhao Jizong from the Chinese Academy of Sciences presented on clinical experimental research related to BCIs [3] - Yan Tianyi from Beijing Institute of Technology discussed non-invasive neural modulation technologies and their applications [5] - Liu Hesheng, Chief Scientist at Changping Laboratory, reported on brain function localization and regulation [5] - Chen Xun from the University of Science and Technology of China presented on multi-source neural signal computation [7] - He Huiguang from the Chinese Academy of Automation discussed visual restoration and reconstruction based on BCIs [7] - Shan Chunlei, Dean of the Rehabilitation Research Institute at Shanghai Jiao Tong University, shared insights on the empowerment of functional rehabilitation through BCIs [9] - Li Yuanqing from South China University of Technology highlighted BCIs as a frontier technology benefiting humanity [9] - Wu Wen from Southern Medical University discussed the application of BCI technology in motor rehabilitation [11] Group 3: Expert Discussions - Following the main presentations, experts engaged in discussions on topics such as the accuracy of neural signal encoding and decoding, the development of invasive and non-invasive BCIs, and the standardization of BCI technology [20] - The discussions also covered the exploration of talent cultivation models for BCI technology [20]