[1]邬霞,李子遇,李晴,等.脑启智跃：人脑与类脑的协同创新范式[J].智能系统学报,2026,21(2):337-352.[doi:10.11992/tis.202509020]
WU Xia,LI Ziyu,LI Qing,et al.Intelligent leap inspired by brain function mechanisms: a collaborative innovation paradigm between human brain and brain-inspired systems[J].CAAI Transactions on Intelligent Systems,2026,21(2):337-352.[doi:10.11992/tis.202509020]
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WU Xia,LI Ziyu,LI Qing,et al.Intelligent leap inspired by brain function mechanisms: a collaborative innovation paradigm between human brain and brain-inspired systems[J].CAAI Transactions on Intelligent Systems,2026,21(2):337-352.[doi:10.11992/tis.202509020]
脑启智跃：人脑与类脑的协同创新范式
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
21
期数:
2026年第2期
页码:
337-352
栏目:
综述
出版日期:
2026-03-05
- Title:
- Intelligent leap inspired by brain function mechanisms: a collaborative innovation paradigm between human brain and brain-inspired systems
- Keywords:
- artificial intelligence; brain functional mechanisms; brain-inspired systems; full-chain collaboration; intelligent leap; perception; cognition; decision-making
- 分类号:
- TP18
- 摘要:
- 在人工智能技术重塑未来的今天，其应用成果正深刻改变着社会的各个领域。从智能机器人辅助手术，到自动驾驶重塑交通模式，人工智能正以前所未有的速度推动社会进步。然而，当前人工智能仍面临静态规则、局部模拟与表层表征等挑战，这导致其难适动态环境、难撑全局智能、难触智能本质，进而阻碍了通用人工智能的发展进程。人脑作为自然界最复杂的智能系统，其多模感知、深度认知与智能决策为类脑研究提供了核心启示。现有研究已在感知增强、认知升级和决策优化等层面取得进展，但仍面临单一层次模拟局限和脑功能机制理解不足等问题。据此，本文拟打破学科壁垒，以人脑感知、认知、决策功能机制为纽带，构建全链条协同创新人工智能框架，实现从人脑到类脑的功能机制启发优化，以及类脑反哺人脑功能机制研究的深化。未来，人脑与类脑的协同创新范式将催生“脑启智跃”，以脑功能机制为启迪实现智能跃迁，最终开启人机共生的智能文明新篇章。
- Abstract:
- Today, the transformative applications of artificial intelligence (AI) are revolutionizing various sectors of society. From surgical robots enhancing medical precision to autonomous vehicles redefining transportation systems, AI is accelerating social advancement at an unprecedented pace. However, current AI technologies still face significant challenges, such as reliance on static rules, limited simulation capabilities, and shallow representation models. These limitations hinder their adaptability in dynamic environments, capacity for global intelligence, and ability to capture the essence of intelligence. The human brain is the most sophisticated intelligent system in nature through its multimodal perception, advanced cognition, and intelligent decision-making. Therefore, this paper tries to transcend disciplinary boundaries by using the functional mechanisms as a bridge and construct a full-chain collaborative innovation paradigm. This paradigm seeks to realize both the optimization of brain-inspired systems guided by human brain mechanisms and the deepened understanding of brain functions through feedback from these systems. Looking ahead, the integration of the human brain and brain-inspired systems will catalyze an “Intelligent Leap Inspired by Brain Function Mechanisms,” achieving a breakthrough in intelligence and ultimately ushering in a new era of intelligent civilization characterized by human-machine symbiosis.
- 参考文献/References:
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备注/Memo
收稿日期:2025-9-1。
基金项目:国家自然科学基金青年基金（A类）项目（62325601）；国家自然科学基金重点项目（62236001）.
作者简介:邬霞，教授，博士生导师，博士，北京理工大学计算机学院脑机接口与类脑智能研究中心主任，主要研究方向为人工智能与脑科学，获吴文俊人工智能自然科学一等奖、教育部自然科学二等奖、茅以升北京青年科技奖等。E-mail：wuxia@bit.edu.cn。;李子遇，助理研究员，博士，主要研究方向为脑信号智能分析与类脑智能。E-mail：ziyuli@bit.edu.cn。;李晴，副研究员，主要研究方向为脑机接口与类脑智能。E-mail：liqing@bit.edu.cn。
通讯作者:李子遇. E-mail：ziyuli@bit.edu.cn
更新日期/Last Update:
1900-01-01