Brain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Xinliang, Liu, Chenyu, Chen, Zhisheng, Wang, Kun, Ding, Yi, Jia, Ziyu, Wen, Qingsong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
by: Chen, Zhisheng, et al.
Published: (2025)
by: Chen, Zhisheng, et al.
Published: (2025)
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
by: Zhou, Xinliang, et al.
Published: (2024)
by: Zhou, Xinliang, et al.
Published: (2024)
Interpretable and Robust AI in EEG Systems: A Survey
by: Zhou, Xinliang, et al.
Published: (2023)
by: Zhou, Xinliang, et al.
Published: (2023)
SelectiveFinetuning: Enhancing Transfer Learning in Sleep Staging through Selective Domain Alignment
by: Zhao, Siyuan, et al.
Published: (2025)
by: Zhao, Siyuan, et al.
Published: (2025)
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective
by: Liu, Chenyu, et al.
Published: (2024)
by: Liu, Chenyu, et al.
Published: (2024)
Foundation Model Guided Dual-Branch Co-Adaptation for Source-Free EEG Decoding
by: Gong, Peiliang, et al.
Published: (2026)
by: Gong, Peiliang, et al.
Published: (2026)
ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models
by: Liu, Chenyu, et al.
Published: (2025)
by: Liu, Chenyu, et al.
Published: (2025)
BrainWave: A Brain Signal Foundation Model for Clinical Applications
by: Yuan, Zhizhang, et al.
Published: (2024)
by: Yuan, Zhizhang, et al.
Published: (2024)
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
by: Xiao, Qinfan, et al.
Published: (2025)
by: Xiao, Qinfan, et al.
Published: (2025)
Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text
by: Murad, Saydul Akbar, et al.
Published: (2024)
by: Murad, Saydul Akbar, et al.
Published: (2024)
EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces
by: Ding, Yi, et al.
Published: (2024)
by: Ding, Yi, et al.
Published: (2024)
Graph Neural Networks in EEG-based Emotion Recognition: A Survey
by: Liu, Chenyu, et al.
Published: (2024)
by: Liu, Chenyu, et al.
Published: (2024)
Introducing Multimodal Paradigm for Learning Sleep Staging PSG via General-Purpose Model
by: Zhou, Jianheng, et al.
Published: (2025)
by: Zhou, Jianheng, et al.
Published: (2025)
Disentangling Neurodegeneration with Brain Age Gap Prediction Models: A Graph Signal Processing Perspective
by: Sihag, Saurabh, et al.
Published: (2025)
by: Sihag, Saurabh, et al.
Published: (2025)
On the Foundations of Earth and Climate Foundation Models
by: Zhu, Xiao Xiang, et al.
Published: (2024)
by: Zhu, Xiao Xiang, et al.
Published: (2024)
CORTEG: Foundation Models Enable Cross-Modality Representation Transfer from Scalp to Intracranial Brain Recordings
by: Yang, Liuyin, et al.
Published: (2026)
by: Yang, Liuyin, et al.
Published: (2026)
Batch Effects In Brain Foundation Model Embeddings
by: Tao, Ye, et al.
Published: (2026)
by: Tao, Ye, et al.
Published: (2026)
Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models
by: Zhang, Chenyu, et al.
Published: (2026)
by: Zhang, Chenyu, et al.
Published: (2026)
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
by: Wang, Jiquan, et al.
Published: (2024)
by: Wang, Jiquan, et al.
Published: (2024)
Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG
by: Guo, Hanning, et al.
Published: (2026)
by: Guo, Hanning, et al.
Published: (2026)
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations
by: Han, Kaiqiao, et al.
Published: (2024)
by: Han, Kaiqiao, et al.
Published: (2024)
Learning Higher-Order Interactions in Brain Networks via Topological Signal Processing
by: Bispo, Breno C., et al.
Published: (2025)
by: Bispo, Breno C., et al.
Published: (2025)
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
by: Li, Jiahe, et al.
Published: (2025)
by: Li, Jiahe, et al.
Published: (2025)
A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives
by: Lai, Junhong, et al.
Published: (2025)
by: Lai, Junhong, et al.
Published: (2025)
WearBCI Dataset: Understanding and Benchmarking Real-World Wearable Brain-Computer Interfaces Signals
by: Liu, Haoxian, et al.
Published: (2026)
by: Liu, Haoxian, et al.
Published: (2026)
Signal Transformation for Effective Multi-Channel Signal Processing
by: Kopparapu, Sunil Kumar
Published: (2024)
by: Kopparapu, Sunil Kumar
Published: (2024)
EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach
by: Paneru, Biplov, et al.
Published: (2024)
by: Paneru, Biplov, et al.
Published: (2024)
From Nodes to Edges: Edge-Based Laplacians for Brain Signal Processing
by: Santoro, Andrea, et al.
Published: (2025)
by: Santoro, Andrea, et al.
Published: (2025)
Advancements in Signal Processing and Control Systems Using Z and L-Transforms
by: Jeeva, A., et al.
Published: (2024)
by: Jeeva, A., et al.
Published: (2024)
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
by: Thapa, Rahul, et al.
Published: (2024)
by: Thapa, Rahul, et al.
Published: (2024)
Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions
by: Wang, Ziwei, et al.
Published: (2026)
by: Wang, Ziwei, et al.
Published: (2026)
Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning
by: Xiao, Lingxi, et al.
Published: (2024)
by: Xiao, Lingxi, et al.
Published: (2024)
Brain-to-Text Decoding with Context-Aware Neural Representations and Large Language Models
by: Li, Jingyuan, et al.
Published: (2024)
by: Li, Jingyuan, et al.
Published: (2024)
Multimodal Higher-Order Brain Networks: A Topological Signal Processing Perspective
by: Bispo, Breno C., et al.
Published: (2026)
by: Bispo, Breno C., et al.
Published: (2026)
A Phenomenological AI Foundation Model for Physical Signals
by: Lien, Jaime, et al.
Published: (2024)
by: Lien, Jaime, et al.
Published: (2024)
CoMET: A Contrastive-Masked Brain Foundation Model for Universal EEG Representation
by: Li, Ang, et al.
Published: (2025)
by: Li, Ang, et al.
Published: (2025)
SGSM: A Foundation-model-like Semi-generalist Sensing Model
by: Yang, Tianjian, et al.
Published: (2024)
by: Yang, Tianjian, et al.
Published: (2024)
Integrated Detection and Tracking Based on Radar Range-Doppler Feature
by: Zhang, Chenyu, et al.
Published: (2025)
by: Zhang, Chenyu, et al.
Published: (2025)
Denoise Stepwise Signals by Diffusion Model Based Approach
by: Tong, Xingdi, et al.
Published: (2026)
by: Tong, Xingdi, et al.
Published: (2026)
SpectrumFM: A Foundation Model for Intelligent Spectrum Management
by: Zhou, Fuhui, et al.
Published: (2025)
by: Zhou, Fuhui, et al.
Published: (2025)
Similar Items
-
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
by: Chen, Zhisheng, et al.
Published: (2025) -
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
by: Zhou, Xinliang, et al.
Published: (2024) -
Interpretable and Robust AI in EEG Systems: A Survey
by: Zhou, Xinliang, et al.
Published: (2023) -
SelectiveFinetuning: Enhancing Transfer Learning in Sleep Staging through Selective Domain Alignment
by: Zhao, Siyuan, et al.
Published: (2025) -
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective
by: Liu, Chenyu, et al.
Published: (2024)