- Full Paper: arXiv
- Workshop Paper: NeurIPS 2025 Brain and Body Foundation Models Workshop
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LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
NeurIPS (2025)
Berkay Döner, Thorir Mar Ingolfsson, Luca Benini, Yawei Li
[Paper] [Code] [HF] -
FEMBA: Efficient and Scalable EEG Analysis with a Bidirectional Mamba Foundation Model
EMBC (2025)
Anna Tegon, Thorir Mar Ingolfsson, Xiaying Wang, Luca Benini, Yawei Li
[Paper] [Code] [HF] -
LaBraM++: Advancing Brainwave Modeling with a Codebook-Based Foundation Model
Arxiv
Konstantinos Barmpas, Na Lee, Yannis Panagakis, Dimitrios A. Adamos, Nikolaos Laskaris, Stefanos Zafeiriou
[Paper] -
MVPFormer: A foundation model with multi-variate parallel attention to generate neuronal activity
Arxiv
Francesco Carzaniga, Michael Hersche, Abu Sebastian, Kaspar Schindler, Abbas Rahimi
[Paper] [Code] [HF-Dataset]
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MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification
Arxiv
Dingkun Liu, Zhu Chen, Jingwei Luo, Shijie Lian, Dongrui Wu
[Paper] [Code] [HF] -
M4CEA: A Knowledge-guided Foundation Model for Childhood Epilepsy Analysis
IEEE Journal of Biomedical and Health Informatics
Yuanmeng Feng, Dinghan Hu, Tiejia Jiang, Feng Gao, Jiuwen Cao
[Paper] [Code] -
EEGMamba: An EEG foundation model with Mamba
Neural Networks
Jiquan Wang, Sha Zhao, Zhiling Luo, Yangxuan Zhou, Shijian Li, Gang Pan
[Paper] [Code] [HF] -
CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
NeurIPS (2025)
Yuchen Zhou, Jiamin Wu, Zichen Ren, Zhouheng Yao, Weiheng Lu, Kunyu Peng, Qihao Zheng, Chunfeng Song, Wanli Ouyang, Chao Gou
[Paper] [Code] -
DIVER-0 : A Fully Channel Equivariant EEG Foundation Model
ICML Gen. Bio. Workshop (2025)
Danny Dongyeop Han, Ahhyun Lucy Lee, Taeyang Lee, Yonghyeon Gwon, Sebin Lee, Seongjin Lee, David Keetae Park, Shinjae Yoo, Jiook Cha, Chun Kee Chung
[Paper] -
CodeBrain: Towards Decoupled Interpretability and Multi-Scale Architecture for EEG Foundation Model
Arxiv
Jingying Ma, Feng Wu, Qika Lin, Yucheng Xing, Chenyu Liu, Ziyu Jia, Mengling Feng
[Paper] -
EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology
Arxiv
Mattson Ogg, Rahul Hingorani, Diego Luna, Griffin W. Milsap, William G. Coon, Clara A. Scholl
[Paper] -
Nested Deep Learning Model Towards A Foundation Model for Brain Signal Data
Arxiv
Fangyi Wei, Jiajie Mo, Kai Zhang, Haipeng Shen, Srikantan Nagarajan, Fei Jiang
[Paper] -
ALFEE: Adaptive Large Foundation Model for EEG Representation
Arxiv
Wei Xiong, Junming Lin, Jiangtong Li, Jie Li, Changjun Jiang
[Paper] [Code - coming soon] -
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
ICLR (2025)
Jiquan Wang, Sha Zhao, Zhiling Luo, Yangxuan Zhou, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan
[Paper] [Code] [HF] -
GEFM: Graph-Enhanced EEG Foundation Model
Arxiv
Limin Wang, Toyotaro Suzumura, Hiroki Kanezashi
[Paper] -
Large Cognition Model: Towards Pretrained EEG Foundation Model
Arxiv
Chi-Sheng Chen, Ying-Jung Chen, Aidan Hung-Wen Tsai
[Paper] -
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection
Arxiv
Yihe Wang, Nan Huang, Nadia Mammone, Marco Cecchi, Xiang Zhang
[Paper] [Code]
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EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals
NeurIPS (2024)
Guagnyu Wang, Wenchao Liu, Yuhong He, Cong Xu, Lin Ma, Haifeng Li
[Paper] [Code] -
BrainWave: A Brain Signal Foundation Model for Clinical Applications
Arxiv
Zhizhang Yuan, Fanqi Shen, Meng Li, Yuguo Yu, Chenhao Tan, Yang Yang
[Paper] -
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
Arxiv
Enze Shi, Kui Zhao, Qilong Yuan, Jiaqi Wang, Huawen Hu, Sigang Yu, Shu Zhang
[Paper] -
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
ICLR (2025)
Wei-Bang Jiang, Yansen Wang, Bao-Liang Lu, Dongsheng Li
[Paper] [Code] [HF] -
Mentality: A Mamba-based Approach towards Foundation Models for EEG
ICLR Workshop TS4H (2024)
Saarang Panchavati, Corey Arnold, William Speier
[Paper] -
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
ICLR (2024)
Wei-Bang Jiang, Li-Ming Zhao, & Bao-Liang Lu
[Paper] [Code] -
EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model
AAAI Spring Symposium (2024)
Yuqi Chen, Kan Ren, Kaitao Song, Yansen Wang, Yifan Wang, Dongsheng Li, Lili Qiu
[Paper]
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BIOT: Self-supervised representation learning for intracranial recordings
ICLR (2023)
Chaoqi Yang, M Westover, Jimeng Sun
[Paper] [Code] -
Brant: Foundation Model for Intracranial Neural Signal
NeurIPS (2023)
Daoze Zhang*, Zhizhang Yuan*, Yang Yang, Junru Chen, Jingjing Wang, Yafeng Li
[Paper] [HF] -
Neuro-GPT: Towards A Foundation Model for EEG
IEEE - ISBI 2024
Wenhui Cui, Woojae Jeong, Philipp Thölke, Takfarinas Medani, Karim Jerbi, Anand A. Joshi, Richard M. Leahy
[Paper] [Code] -
BrainBERT: Self-supervised representation learning for intracranial recordings
ICLR (2023)
Christopher Wang, Vighnesh Subramaniam, Adam Uri Yaari, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu
[Paper] [Code]
If you find our work useful in your research, please consider citing:
@article{kuruppu2025eeg,
title={Eeg foundation models: A critical review of current progress and future directions},
author={Kuruppu, Gayal and Wagh, Neeraj and Kremen, Vaclav and Varatharajah, Yogatheesan},
journal={Journal of Neural Engineering},
year={2025}
}