Summary of Key Points from the Conference Call on Brain-Computer Interface (BCI) Technology Industry Overview - The conference focuses on the **Brain-Computer Interface (BCI)** technology and its applications in **neuroregulation** and **rehabilitation** for patients with disabilities such as amputees and those with speech disorders [1][3][21]. Core Insights and Arguments - **Technological Advancements**: Significant progress has been made in **Chinese speech decoding**, achieving international standards in language recognition, particularly for tonal languages like Mandarin [1][8]. - **Neuroregulation Applications**: Neuroregulation techniques, including electrical and magnetic stimulation, have been successfully applied in treating conditions like epilepsy and Parkinson's disease, with ongoing exploration into Alzheimer's disease [1][16]. - **Closed-loop BCIs**: The development of closed-loop BCIs allows for real-time feedback from the brain, enhancing control strategies and rehabilitation outcomes, as demonstrated by Zhejiang University and FDA-approved devices [1][21]. - **Interdisciplinary Collaboration**: The advancement of BCI technology requires collaboration across multiple disciplines, including microelectronics, materials science, communication engineering, and artificial intelligence [3][23]. - **China's "Brain Plan"**: China's strategic initiatives, such as the "Brain Plan," aim to foster innovation and establish a complete industrial chain in the BCI field, focusing on infrastructure, databases, and AI algorithms [3][24]. Additional Important Content - **Neural Decoding Techniques**: Various methods for recording neural activity include MRI, functional MRI, and high-density EEG, with EEG being the most common due to its high temporal resolution [6][9]. - **Signal Processing**: The extraction of meaningful information from EEG signals involves complex processing techniques, including time-frequency analysis and deep learning algorithms [10][11]. - **Clinical Applications**: Current clinical applications of BCI technology are expanding, particularly in rehabilitation for stroke and spinal cord injury patients, with a focus on both invasive and non-invasive methods [21][26]. - **Future Prospects**: The future of BCI technology includes a focus on multi-target regulation and the integration of AI for more precise neuroregulation, with potential applications in both clinical and non-clinical settings [22][25]. - **Challenges in Non-invasive BCIs**: While non-invasive BCIs show promise in areas like fatigue monitoring and cognitive training, they face challenges in signal quality and practical application compared to invasive methods [26][27]. - **Comparative Analysis of US and China**: The US leads in rapid application of new technologies, while China has strong research capabilities but faces challenges in translating innovations into clinical practice [28]. This summary encapsulates the key points discussed in the conference call regarding the current state and future directions of BCI technology, highlighting both advancements and challenges within the industry.