non-invasive

This research uses non-invasive EEG and contrastive learning to decode words during silent reading, showing scalable lexical information recovery that scales with data volume.

This paper presents Brain2Qwerty v2, an AI model that accurately decodes natural sentences from non-invasive magnetoencephalography brain recordings with a 39% word error rate, demonstrating that data scaling can help bridge performance gaps with invasive methods.

Chinese company BrainCo demonstrates advanced bionic prosthetics with near-real-time response, requiring no surgical implants, and reduces costs by 85% compared to traditional prosthetics.

This paper introduces a multi-feature fusion framework for semantic reconstruction from non-invasive brain recordings, combining static lexical (Word2Vec) and dynamic contextual (GPT) representations via cross-attention, achieving state-of-the-art performance in brain-to-text decoding.

Meta发布了Brain2Qwerty v2，一种非侵入式脑机接口，能够实时解码句子，标志着脑机接口走向现实。

Meta open-sourced Brain2Qwerty v2, a non-invasive brain-to-text system using MEG signals and deep learning, achieving up to 78% word accuracy.

A new non-invasive method translates brain waves into words, offering a communication pathway without the need for surgery.

Brain2Qwerty is a non-invasive brain-computer interface that decodes brain waves into text, enabling communication without surgery.

Meta has improved Brain2QWERTY, a non-invasive system using MEG and EEG to decode brain activity into text, enabling typing.