Brain-to-Language Decoding: Tasks, Signals, Methods, Evaluation, Practical Use and Beyond
cs.CL, cs.HC, cs.NE
Submitted: 2026-09-23
Updated: 2026-09-24
Code: https://github.com/OpenNeuroDatasets/ds007524
Terminology
Sources
- Neural Codecs as Biosignal Tokenizers
- BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM
- RAG-based EEG-to-Text Translation Using Deep Learning and LLMs
- Neuro-GPT: Towards A Foundation Model for EEG
- ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters
- ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words
- Cueless EEG imagined speech for subject identification: dataset and benchmarks
- Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding
- LightBeam: An Accurate and Memory-Efficient CTC Decoder for Speech Neuroprostheses
- NeuroSonic: Conditional Flow Matching for EEG-to-Speech Reconstruction
- Bridging Brain Signals and Language: A Deep Learning Approach to EEG-to-Text Decoding
- Mean Flows for One-step Generative Modeling
- EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification
- Toward Robust, Reproducible, and Widely Accessible Intracranial Speech Brain-Computer Interfaces: A Comprehensive Narrative Review of Neural Mechanisms, Hardware, Algorithms, Evaluation, Clinical Pathways and Future Directions
- MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training
- Unlocking Non-Invasive Brain-to-Text
- A Common Measure of Communication for Speech Brain-Computer Interfaces
- DELTA: Language Diffusion-based EEG-to-Text Architecture
- Does EEG Foundation Models Transfer to Speech? A Benchmark on Overt and Imagined Speech Decoding
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