Cover Image

HEAR: An EEG Foundation Model with Heterogeneous Electrode Adaptive Representation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Zhige, Qin, Chengxuan, You, Wenlong, Liu, Rui, Chu, Congying, Yang, Rui, Tan, Kay Chen, Wu, Jibin
Format:	Preprint
Published:	2025
Subjects:	Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG Model
by: Qin, Chengxuan, et al.
Published: (2024)

CoMET: A Contrastive-Masked Brain Foundation Model for Universal EEG Representation
by: Li, Ang, et al.
Published: (2025)

Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
by: Chen, Zhisheng, et al.
Published: (2025)

EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces
by: Ding, Yi, et al.
Published: (2024)

PRiSE-EEG: A Prior-Guided Foundation Model with Depth-Stratified Experts for Cross-Paradigm EEG Representation Learning
by: Xiong, Wei, et al.
Published: (2026)

RFSS: A Comprehensive Multi-Standard RF Signal Source Separation Dataset with Advanced Channel Modeling
by: Chen, Hao, et al.
Published: (2025)

EEG-to-Gait Decoding via Phase-Aware Representation Learning
by: Fu, Xi, et al.
Published: (2025)

From Electrode to Global Brain: Integrating Multi- and Cross-Scale Brain Connections and Interactions Under Cross-Subject and Within-Subject Scenarios
by: Zhige, Chen, et al.
Published: (2024)

ALFEE: Adaptive Large Foundation Model for EEG Representation
by: Xiong, Wei, et al.
Published: (2025)

RFSS: A Multi-Standard RF Signal Source Separation Dataset with 3GPP-Standardized Channel and Hardware Impairments
by: Chen, Hao, et al.
Published: (2026)

EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks
by: Han, Jinpei, et al.
Published: (2023)

Large Cognition Model: Towards Pretrained EEG Foundation Model
by: Chen, Chi-Sheng, et al.
Published: (2025)

BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
by: Xiao, Qinfan, et al.
Published: (2025)

WiFo-MUD: Wireless Foundation Model for Heterogeneous Multi-User Demodulator
by: Yang, Zonghui, et al.
Published: (2026)

Multibeam High Throughput Satellite: Hardware Foundation, Resource Allocation, and Precoding
by: Chen, Rui, et al.
Published: (2025)

GEFM: Graph-Enhanced EEG Foundation Model
by: Wang, Limin, et al.
Published: (2024)

Federated learning over physical channels: adaptive algorithms with near-optimal guarantees
by: Zhang, Rui, et al.
Published: (2025)

Efficient, Adaptive Near-Field Beam Training based on Linear Bandit
by: Liu, Junchi, et al.
Published: (2026)

Low-Complexity Rydberg Array Reuse: Modeling and Receiver Design for Sparse Channels
by: Wu, Hao, et al.
Published: (2025)

ChineseEEG-2: An EEG Dataset for Multimodal Semantic Alignment and Neural Decoding during Reading and Listening
by: Chen, Sitong, et al.
Published: (2025)

Neuro-GPT: Towards A Foundation Model for EEG
by: Cui, Wenhui, et al.
Published: (2023)

Explain EEG-based End-to-end Deep Learning Models in the Frequency Domain
by: Wang, Hanqi, et al.
Published: (2024)

BrainRVQ: A High-Fidelity EEG Foundation Model via Dual-Domain Residual Quantization and Hierarchical Autoregression
by: Cui, Mingzhe, et al.
Published: (2026)

EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition
by: Ding, Yi, et al.
Published: (2024)

Feasibility of simultaneous EEG-fMRI at 0.55 T: Recording, Denoising, and Functional Mapping
by: Razmara, Parsa, et al.
Published: (2026)

In-Ear Electrode EEG for Practical SSVEP BCI
by: Mouli, Surej, et al.
Published: (2025)

EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology
by: Ogg, Mattson, et al.
Published: (2025)

EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding
by: Fu, Xi, et al.
Published: (2025)

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
by: Aristimunha, Bruno, et al.
Published: (2025)

FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
by: Shi, Enze, et al.
Published: (2024)

BrainGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training
by: Yue, Tongtian, et al.
Published: (2024)

The Analysis and Performance of LODC-OFDM Signal in Nonlinear Rydberg Atomic Sensor
by: Wu, Hao, et al.
Published: (2025)

BDAN: Mitigating Temporal Difference Across Electrodes in Cross-Subject Motor Imagery Classification via Generative Bridging Domain
by: Chen, Zhige, et al.
Published: (2024)

Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition
by: Feng, Tianzhi, et al.
Published: (2025)

MMOC: Self-Supervised EEG Emotion Recognition Framework with Multi-Model Online Collaboration
by: Wang, Hanqi, et al.
Published: (2025)

THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations
by: Yang, Wenchao, et al.
Published: (2025)

ComHymba: Low-Complexity Domain-Informed Foundation Model for Wireless Communications
by: Yang, Bowen, et al.
Published: (2026)

LLM4AMC: Adapting Large Language Models for Adaptive Modulation and Coding
by: Pan, Xinyu, et al.
Published: (2025)

Efficient Artifacts Removal for Adaptive Deep Brain Stimulation and a Temporal Event Localization Analysis
by: Liu, Tzu-Chi, et al.
Published: (2025)

Flexible Beamforming Design with Hierarchical Rotational 6DMA Systems
by: Wang, Weijia, et al.
Published: (2026)