中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Brain Foundation Models: A survey on advancements in neural signal processing and brain discovery

文献类型:期刊论文

作者Zhou, Xinliang2; Liu, Chenyu2; Chen, Zhisheng3; Wang, Kun2; Ding, Yi2; Jia, Ziyu1; Wen, Qingsong4
刊名IEEE SIGNAL PROCESSING MAGAZINE
出版日期2025-09-01
卷号42期号:5页码:22-35
关键词Training Surveys Technological innovation Foundation models Roads Standardization Signal processing Brain modeling Data models Decoding
ISSN号1053-5888
DOI10.1109/MSP.2025.3592356
英文摘要Brain foundation models (BFMs) represent a transformative paradigm in computational neuroscience that leverages large-scale pretraining on diverse neural signals to achieve robust generalization across tasks, modalities, and experimental contexts. This survey article establishes the first comprehensive definition and framework for BFMs, systematically examining their construction, core methodologies, and applications. We present key approaches for data processing and training strategies alongside diverse applications spanning brain decoding and scientific discovery. Through critical analysis of recent methodological innovations, we identify fundamental challenges that must be addressed to realize the full potential of BFMs, including advancing data quality and standardization, optimizing model architectures, improving training efficiency, and enhancing interpretability. By bridging the gap between neuroscience and artificial intelligence (AI), BFMs present unprecedented opportunities to revolutionize brain research, clinical diagnostics, and therapeutic interventions. This article serves as a foundational reference for researchers and practitioners seeking to understand and advance this emerging field.
WOS研究方向Engineering
语种英语
WOS记录号WOS:001644337500003
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/42953]  
专题中国科学院计算技术研究所
通讯作者Zhou, Xinliang
作者单位1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100045, Peoples R China
2.Nanyang Technol Univ, Coll Comp & Data Sci, Singapore 639798, Singapore
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
4.Squirrel Learning, Bellevue, WA 98004 USA
推荐引用方式
GB/T 7714
Zhou, Xinliang,Liu, Chenyu,Chen, Zhisheng,et al. Brain Foundation Models: A survey on advancements in neural signal processing and brain discovery[J]. IEEE SIGNAL PROCESSING MAGAZINE,2025,42(5):22-35.
APA Zhou, Xinliang.,Liu, Chenyu.,Chen, Zhisheng.,Wang, Kun.,Ding, Yi.,...&Wen, Qingsong.(2025).Brain Foundation Models: A survey on advancements in neural signal processing and brain discovery.IEEE SIGNAL PROCESSING MAGAZINE,42(5),22-35.
MLA Zhou, Xinliang,et al."Brain Foundation Models: A survey on advancements in neural signal processing and brain discovery".IEEE SIGNAL PROCESSING MAGAZINE 42.5(2025):22-35.

入库方式: OAI收割

来源:计算技术研究所

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