12月28日至30日，第五届脑科学前沿与产业大会暨2025深圳脑机接口博览会（以下简称"2025深圳脑博 会"）在深圳光明科学城举行。 大会开幕式上，中国科学院深圳先进技术研究院脑所所长、深港脑科学创新研究院院长王立平研究员， 代表学界与产业界发布全国首个《脑科学与脑机接口发展科技向善倡议》。 "粤港澳大湾区脑科学与中枢神经疾病AI创新联盟"同期启动。该联盟旨在通过赋能脑科学与中枢神经疾 病领域基础研究、疾病诊断、药物研发及临床转化，专注于神经系统疾病药物创新、脑机接口、AI脑 健康与医疗三大产业方向，打造脑科学与中枢神经疾病领域"基础研究-技术开发-产业应用"的全链条创 新平台。 与此同时，总规模11.6亿元的脑科学产业基金以及首批拟投优质项目现场签约。"深圳市中金脑科学与 类脑智能产业私募股权投资基金"与"深圳市蓝海智脑种子基金"双双落地，构建起覆盖早期"播种"到成 长"灌溉"的科技金融支持体系，给脑科学与脑机接口产业带来"超级活水"。 此外，深圳市脑科学学会脑机接口与人机智能分会、研究型精神和心理健康分会成立、中国科学院深圳 先进技术研究院-琪朗健康照明科技"健康光研究与临床应用创新联合体"签约揭牌。 ...

Core Insights - The main goal of the "14th Five-Year Plan" is to significantly enhance the level of "self-reliance and strength in technology," focusing on rapid breakthroughs in key core technologies and increasing the number of leading fields [1][2] - Despite continuous growth in R&D investment, China's basic research proportion remains lower than that of developed countries, highlighting the need for original innovation and tackling key core technology challenges [1][2] - The financing difficulties faced by original innovation and key core technology projects are becoming increasingly prominent, necessitating the establishment of a suitable technology finance support system during the "14th Five-Year Plan" period [1][2] R&D Investment Trends - From 2016 to 2022, global R&D expenditure as a percentage of GDP increased by 0.51 percentage points for the world, 0.45 for China, 0.75 for the U.S., and 1.22 for South Korea, indicating a significant upward trend [2] - China's global innovation index ranking improved from 34th in 2012 to 11th in 2024, making it the only middle-income economy in the top 30 [2] Challenges in Financing - Original innovation projects typically exhibit high risk, high investment, and long cycles, which conflict with traditional financial institutions' preference for stability and short-term returns [3] - Financial institutions face challenges in assessing the value of technology due to the unique nature of original innovation and key core technology paths, making traditional risk assessment models inadequate [4][5] - There is a structural contradiction in the funding supply, with government-guided funds favoring later-stage projects, resulting in low investment rates for early-stage projects [3][5] Proposed Solutions - Experts suggest constructing a multi-layered, full-cycle technology finance support system to address the complex financing challenges [5][6] - Recommendations include improving the supply of innovative financing tools, enhancing the knowledge property pledge financing mechanism, and expanding pilot programs for "investment-loan linkage" [5][6] - Financial institutions are encouraged to develop differentiated products such as R&D loans and talent loans, and to strengthen data sharing between government, banks, and enterprises [6][7]