Magnetic
This page groups the current SSI review database by the real `modality:` tag `modality:magnetic`.
The list below includes every paper page that currently carries this technique label.
Papers
Physiological Noise Augmentation Improves Non-Invasive Brain-to-Speech
Introducing PNA, the paper advances non-invasive brain-to-speech decoding by creating artifact-informed augmentations via ICA, significantly improving imagined speech classification accuracy on MEG data when combined with trial averaging.
Zero-Shot Imagined Speech Decoding via Imagined-to-Listened MEG Mapping
The study convincingly shows zero-shot imagined speech decoding by mapping MEG imagery to listened responses and decoding with a listened-trained contrastive model, marking a promising data-efficient advance despite limited vocabulary and hardware constraints.
Transfer Learning from ImageNet for MEG-Based Decoding of Imagined Speech
ImageNet-pretrained vision models improve closed-set MEG classification, including held-out-subject tests, but the study decodes task/vowel labels—not sentences—and leaves practical communication undemonstrated.
A Convolutional Framework for Mapping Imagined Auditory MEG into Listened Brain Responses
音楽・詩を想像したときの脳磁図（MEG）から、聴取時の脳活動を予測する基礎研究。学習から外した参加者でも本人の一部データで調整すると比較用モデルを上回るが、相関は小さく、音声や文章の復元・実用的な意思伝達は未実証である。
Silent Speech and Emotion Recognition from Vocal Tract Shape Dynamics in Real-Time MRI
Strong rtMRI recognition result, weak deployment story.
EMA2S: An End-to-End Multimodal Articulatory-to-Speech System
EMA2S achieves consistent quality improvements over prior EMA-to-speech baselines by combining multimodal joint loss training with a neural vocoder, though gains remain confined to lab EMA conditions.