Image de couverture de livre

Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sharma, Anupam, Katti, Harish, Singh, Prajwal, Raman, Shanmuganathan, Miyapuram, Krishna
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Human-Computer Interaction Signal Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface
par: Sharma, Anupam, et autres
Publié: (2024)

Dynamic Vision from EEG Brain Recordings, How much does EEG know?
par: Singh, Prajwal, et autres
Publié: (2025)

Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks
par: Lee, Dae-Hyeok, et autres
Publié: (2024)

PAT: Privacy-Preserving Adversarial Transfer for Accurate, Robust and Privacy-Preserving EEG Decoding
par: Chen, Xiaoqing, et autres
Publié: (2024)

MPNet: A Robust and Efficient Manifold Pooling Network for Multi-Rhythm EEG Signal Decoding
par: Cai, Guoqing, et autres
Publié: (2026)

EEG-Features for Generalized Deepfake Detection
par: Beckmann, Arian, et autres
Publié: (2024)

Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model
par: Kim, Sung-Jin, et autres
Publié: (2024)

Perception-Guided EEG Analysis: A Deep Learning Approach Inspired by Level of Detail (LOD) Theory
par: Tong, BG
Publié: (2025)

Feature Reweighting for EEG-based Motor Imagery Classification
par: Lotey, Taveena, et autres
Publié: (2023)

NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals
par: Cao, Jiani, et autres
Publié: (2026)

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
par: Zhou, Yuchen, et autres
Publié: (2025)

nASR: An End-to-End Trainable Neural Layer for Channel-Level EEG Artifact Subspace Reconstruction in Real-Time BCI
par: Sarkar, Shantanu, et autres
Publié: (2026)

Passenger hazard perception based on EEG signals for highly automated driving vehicles
par: Tan, Ashton Yu Xuan, et autres
Publié: (2024)

Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation
par: Xiao, Yun, et autres
Publié: (2024)

Transferring BCI models from calibration to control: Observing shifts in EEG features
par: de Jong, Ivo Pascal, et autres
Publié: (2024)

ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters
par: Darwish, Hazem, et autres
Publié: (2024)

Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text
par: Murad, Saydul Akbar, et autres
Publié: (2024)

RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier
par: Memar, Maryam Ostadsharif, et autres
Publié: (2024)

Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces
par: Wang, Ziwei, et autres
Publié: (2024)

EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
par: Zhou, Rushuang, et autres
Publié: (2023)

EEG decoding with conditional identification information
par: Sun, Pengfei, et autres
Publié: (2024)

LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring
par: Huang, Jingwei, et autres
Publié: (2024)

NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
par: Jiang, Wei-Bang, et autres
Publié: (2024)

Personalized Continual EEG Decoding: Retaining and Transferring Knowledge
par: Li, Dan, et autres
Publié: (2024)

Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
par: Ye, Weishan, et autres
Publié: (2023)

DECODE: Dual-Enhanced Conditioned Diffusion for EEG Forecasting
par: Shabanpour, Mehran, et autres
Publié: (2026)

Recording Brain Activity While Listening to Music Using Wearable EEG Devices Combined with Bidirectional Long Short-Term Memory Networks
par: Wang, Jingyi, et autres
Publié: (2024)

Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding
par: Amrani, Hamza, et autres
Publié: (2023)

Riemannian Geometry-Based EEG Approaches: A Literature Review
par: Tibermacine, Imad Eddine, et autres
Publié: (2024)

Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition
par: Lin, Xuetao, et autres
Publié: (2025)

Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep
par: Sano, Akane, et autres
Publié: (2024)

Consumer-grade EEG-based Eye Tracking
par: Afonso, Tiago Vasconcelos, et autres
Publié: (2025)

One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment
par: Gkikas, Stefanos, et autres
Publié: (2026)

HCFT: Hierarchical Convolutional Fusion Transformer for EEG Decoding
par: Zhang, Haodong, et autres
Publié: (2026)

Same Brain, Different Prediction: How Preprocessing Choices Undermine EEG Decoding Reliability
par: Hou, Dengzhe, et autres
Publié: (2026)

Can EEG resting state data benefit data-driven approaches for motor-imagery decoding?
par: Mehta, Rishan, et autres
Publié: (2024)

CSP-Net: Common Spatial Pattern Empowered Neural Networks for EEG-Based Motor Imagery Classification
par: Jiang, Xue, et autres
Publié: (2024)

PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces
par: Singh, Gursimran, et autres
Publié: (2025)

BRIEDGE: EEG-Adaptive Edge AI for Multi-Brain to Multi-Robot Interaction
par: Ouyang, Jinhui, et autres
Publié: (2024)

ALFEE: Adaptive Large Foundation Model for EEG Representation
par: Xiong, Wei, et autres
Publié: (2025)