Thought2Text represents a breakthrough in brain-computer interfaces by using fine-tuned Large Language Models to generate coherent text directly from EEG signals.

• Combines EEG signal processing with advanced multimodal LLM technology
• Employs a three-stage approach: EEG encoder training, multimodal LLM fine-tuning, and EEG-to-text conversion
• Creates a bridge between neurological activity and natural language expression

This technology holds transformative potential for medical applications, particularly for patients with communication disabilities like locked-in syndrome, offering them new pathways to express thoughts and interact with the world.

Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)