Brain Foundation Models: A survey on advancements in neural signal processing and brain discovery

doi:10.1109/MSP.2025.3592356

CSpace

	Brain Foundation Models: A survey on advancements in neural signal processing and brain discovery
	Zhou, Xinliang 1; Liu, Chenyu 1; Chen, Zhisheng 2; Wang, Kun 1; Ding, Yi 1; Jia, Ziyu 3; Wen, Qingsong 4
	2025-09-01
发表期刊	IEEE SIGNAL PROCESSING MAGAZINE
ISSN	1053-5888
卷号	42 期号:5 页码:22-35
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.
关键词	Training Surveys Technological innovation Foundation models Roads Standardization Signal processing Brain modeling Data models Decoding
DOI	10.1109/MSP.2025.3592356
收录类别	SCI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:001644337500003
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/42954
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.Nanyang Technol Univ, Coll Comp & Data Sci, Singapore 639798, Singapore 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100045, 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.