Cover Image

EEGChaT: A Transformer-Based Modular Channel Selector for SEEG Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Chen, Wang, Yansen, Han, Dongqi, Wang, Zilong, Li, Dongsheng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
by: Zhang, Yimu, et al.
Published: (2025)

Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
by: Xiao, Mingqing, et al.
Published: (2026)

ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
by: Chen, Yuqi, et al.
Published: (2024)

State-Action Inpainting Diffuser for Continuous Control with Delay
by: Han, Dongqi, et al.
Published: (2026)

EgoBrain: Synergizing Minds and Eyes For Human Action Understanding
by: Lin, Nie, et al.
Published: (2025)

Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs
by: Yang, Zhihe, et al.
Published: (2025)

Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem
by: Tieu, Katherine, et al.
Published: (2025)

AI-Driven SEEG Channel Ranking for Epileptogenic Zone Localization
by: Hashemi, Saeed, et al.
Published: (2025)

A Large-scale Medical Visual Task Adaptation Benchmark
by: Mo, Shentong, et al.
Published: (2024)

LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning
by: Mo, Shentong, et al.
Published: (2024)

What Makes a Good Diffusion Planner for Decision Making?
by: Lu, Haofei, et al.
Published: (2025)

Habits and goals in synergy: a variational Bayesian framework for behavior
by: Han, Dongqi, et al.
Published: (2023)

NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
by: Jiang, Wei-Bang, et al.
Published: (2024)

Habitizing Diffusion Planning for Efficient and Effective Decision Making
by: Lu, Haofei, et al.
Published: (2025)

Optimal Analysis for Bandit Learning in Matching Markets with Serial Dictatorship
by: Wang, Zilong, et al.
Published: (2025)

Understanding and Improving Training-free Loss-based Diffusion Guidance
by: Shen, Yifei, et al.
Published: (2024)

EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model
by: Chen, Yuqi, et al.
Published: (2024)

Automated Contrastive Learning Strategy Search for Time Series
by: Jing, Baoyu, et al.
Published: (2024)

Seizure-NGCLNet: Representation Learning of SEEG Spatial Pathological Patterns for Epileptic Seizure Detection via Node-Graph Dual Contrastive Learning
by: Wang, Yiping, et al.
Published: (2025)

Toward Relative Positional Encoding in Spiking Transformers
by: Lv, Changze, et al.
Published: (2025)

Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
by: Javadzadeh, Sina, et al.
Published: (2025)

Revealing Modular Gradient Noise Imbalance in LLMs: Calibrating Adam via Signal-to-Noise Ratio
by: Wen, Ziqing, et al.
Published: (2026)

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
by: Liang, Zhiyu, et al.
Published: (2025)

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
by: Lv, Changze, et al.
Published: (2024)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
by: Lv, Changze, et al.
Published: (2024)

SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting
by: Guo, Shiwei, et al.
Published: (2025)

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)

IRG: Modular Synthetic Relational Database Generation with Complex Relational Schemas
by: Li, Jiayu, et al.
Published: (2023)

Where to Spend Rollouts: Hit-Utility Optimal Rollout Allocation for Group-Based RLVR
by: Wang, Tao, et al.
Published: (2026)

MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback
by: Wang, Lei, et al.
Published: (2026)

A Survey on Memory-Efficient Transformer-Based Model Training in AI for Science
by: Tian, Kaiyuan, et al.
Published: (2025)

Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization
by: Liu, Dongqi, et al.
Published: (2023)

RETLLM: Training and Data-Free MLLMs for Multimodal Information Retrieval
by: Su, Dawei, et al.
Published: (2026)

RP-CATE: Recurrent Perceptron-based Channel Attention Transformer Encoder for Industrial Hybrid Modeling
by: Yang, Haoran, et al.
Published: (2025)

Learning to Communicate Through Implicit Communication Channels
by: Wang, Han, et al.
Published: (2024)

Causal Clustering for Conditional Average Treatment Effects Estimation and Subgroup Discovery
by: Wang, Zilong, et al.
Published: (2025)

Transfer Learning for Meta-analysis Under Covariate Shift
by: Wang, Zilong, et al.
Published: (2026)

A Modular Framework for Rapidly Building Intrusion Predictors
by: Wang, Xiaoxuan, et al.
Published: (2025)

Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis
by: Li, Hongkang, et al.
Published: (2024)

FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts
by: Mei, Hanzi, et al.
Published: (2024)