# MindGPT: Advancing Human-AI Interaction with Non-Invasive fNIRS-Based Imagined Speech Decoding

arXiv: https://arxiv.org/abs/2408.05361 · HTML: https://mlsanity.com/paper/2408.05361/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- First posted on arXiv 25 Jul 2024.

## Abstract (arXiv)

In the coming decade, artificial intelligence systems are set to revolutionise every industry and facet of human life. Building communication systems that enable seamless and symbiotic communication between humans and AI agents is increasingly important. This research advances the field of human-AI interaction by developing an innovative approach to decode imagined speech using non-invasive high-density functional near-infrared spectroscopy (fNIRS). Notably, this study introduces MindGPT, the first thought-to-LLM (large language model) system in the world.