Saved in:
| Main Authors: | Shen, Fanqi, Yang, Enhong, Li, Jiahe, Hong, Junru, Pan, Xiaoran, Yuan, Zhizhang, Li, Meng, Yang, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.11558 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BrainWave: A Brain Signal Foundation Model for Clinical Applications
by: Yuan, Zhizhang, et al.
Published: (2024)
by: Yuan, Zhizhang, et al.
Published: (2024)
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
by: Li, Jiahe, et al.
Published: (2025)
by: Li, Jiahe, et al.
Published: (2025)
Assembling the Mind's Mosaic: Towards EEG Semantic Intent Decoding
by: Li, Jiahe, et al.
Published: (2026)
by: Li, Jiahe, et al.
Published: (2026)
Brant-X: A Unified Physiological Signal Alignment Framework
by: Zhang, Daoze, et al.
Published: (2024)
by: Zhang, Daoze, et al.
Published: (2024)
NeuroSketch: An Effective Framework for Neural Decoding via Systematic Architectural Optimization
by: Zhang, Gaorui, et al.
Published: (2025)
by: Zhang, Gaorui, et al.
Published: (2025)
Benchmarking ECG FMs: A Reality Check Across Clinical Tasks
by: Al-Masud, M A, et al.
Published: (2025)
by: Al-Masud, M A, et al.
Published: (2025)
AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications
by: Wu, Jiamin, et al.
Published: (2025)
by: Wu, Jiamin, et al.
Published: (2025)
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)
Nested Deep Learning Model Towards A Foundation Model for Brain Signal Data
by: Wei, Fangyi, et al.
Published: (2024)
by: Wei, Fangyi, et al.
Published: (2024)
Brain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery
by: Zhou, Xinliang, et al.
Published: (2025)
by: Zhou, Xinliang, et al.
Published: (2025)
BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning
by: Wu, Yizhou, et al.
Published: (2026)
by: Wu, Yizhou, 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)
SpikingBrain2.0: Brain-Inspired Foundation Models for Efficient Long-Context and Cross-Platform Inference
by: Pan, Yuqi, et al.
Published: (2026)
by: Pan, Yuqi, et al.
Published: (2026)
KAST-BAR: Knowledge-Anchored Semantically-Dynamic Topology Brain Autoregressive Modeling for Universal Neural Interpretation
by: Wang, Haoning, et al.
Published: (2026)
by: Wang, Haoning, et al.
Published: (2026)
LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces
by: Jiang, Muyun, et al.
Published: (2025)
by: Jiang, Muyun, et al.
Published: (2025)
BrainRVQ: A High-Fidelity EEG Foundation Model via Dual-Domain Residual Quantization and Hierarchical Autoregression
by: Cui, Mingzhe, et al.
Published: (2026)
by: Cui, Mingzhe, 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)
DeeperBrain: A Neuro-Grounded EEG Foundation Model Towards Universal BCI
by: Wang, Jiquan, et al.
Published: (2026)
by: Wang, Jiquan, et al.
Published: (2026)
Spiking Neural Network for Intra-cortical Brain Signal Decoding
by: Yang, Song, et al.
Published: (2025)
by: Yang, Song, et al.
Published: (2025)
NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces
by: Kontras, Konstantinos, et al.
Published: (2026)
by: Kontras, Konstantinos, et al.
Published: (2026)
SpikingBrain: Spiking Brain-inspired Large Models
by: Pan, Yuqi, et al.
Published: (2025)
by: Pan, Yuqi, et al.
Published: (2025)
On the Power of Foundation Models
by: Yuan, Yang
Published: (2022)
by: Yuan, Yang
Published: (2022)
BrainCast: A Spatio-Temporal Forecasting Model for Whole-Brain fMRI Time Series Prediction
by: Gao, Yunlong, et al.
Published: (2026)
by: Gao, Yunlong, et al.
Published: (2026)
BrainSCL: Subtype-Guided Contrastive Learning for Brain Disorder Diagnosis
by: Li, Xiaolong, et al.
Published: (2026)
by: Li, Xiaolong, et al.
Published: (2026)
Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis
by: Tang, Jingfeng, et al.
Published: (2026)
by: Tang, Jingfeng, et al.
Published: (2026)
THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations
by: Yang, Wenchao, et al.
Published: (2025)
by: Yang, Wenchao, et al.
Published: (2025)
BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis
by: Wei, Hui, et al.
Published: (2025)
by: Wei, Hui, et al.
Published: (2025)
Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
Bridging Brain with Foundation Models through Self-Supervised Learning
by: Altaheri, Hamdi, et al.
Published: (2025)
by: Altaheri, Hamdi, et al.
Published: (2025)
Diffusion-Guided Pretraining for Brain Graph Foundation Models
by: Wei, Xinxu, et al.
Published: (2026)
by: Wei, Xinxu, et al.
Published: (2026)
Differentiable Optimization of Similarity Scores Between Models and Brains
by: Cloos, Nathan, et al.
Published: (2024)
by: Cloos, Nathan, et al.
Published: (2024)
A Contrastive Learning Based Convolutional Neural Network for ERP Brain-Computer Interfaces
by: Cui, Yuntian, et al.
Published: (2024)
by: Cui, Yuntian, et al.
Published: (2024)
Branching Strategies Based on Subgraph GNNs: A Study on Theoretical Promise versus Practical Reality
by: Zhou, Junru, et al.
Published: (2025)
by: Zhou, Junru, et al.
Published: (2025)
When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding
by: Wu, Jinzhou, et al.
Published: (2025)
by: Wu, Jinzhou, et al.
Published: (2025)
A Foundational Brain Dynamics Model via Stochastic Optimal Control
by: Park, Joonhyeong, et al.
Published: (2025)
by: Park, Joonhyeong, et al.
Published: (2025)
TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting
by: Li, Zhe, et al.
Published: (2024)
by: Li, Zhe, et al.
Published: (2024)
Inverting Foundation Models of Brain Function with Simulation-Based Inference
by: Bracher, Niels, et al.
Published: (2026)
by: Bracher, Niels, et al.
Published: (2026)
Benchmarking Foundation Models with Multimodal Public Electronic Health Records
by: Yu, Kunyu, et al.
Published: (2025)
by: Yu, Kunyu, et al.
Published: (2025)
Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape
by: Wei, Ziquan, et al.
Published: (2025)
by: Wei, Ziquan, et al.
Published: (2025)
Similar Items
-
BrainWave: A Brain Signal Foundation Model for Clinical Applications
by: Yuan, Zhizhang, et al.
Published: (2024) -
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
by: Li, Jiahe, et al.
Published: (2025) -
Assembling the Mind's Mosaic: Towards EEG Semantic Intent Decoding
by: Li, Jiahe, et al.
Published: (2026) -
Brant-X: A Unified Physiological Signal Alignment Framework
by: Zhang, Daoze, et al.
Published: (2024) -
NeuroSketch: An Effective Framework for Neural Decoding via Systematic Architectural Optimization
by: Zhang, Gaorui, et al.
Published: (2025)