Integrating Language Models into Listened and Imagined Speech Decoding from MEG

arXiv:2609.31997 · cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Accuracy — 10× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Decode — 2× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

• Brain-to-Text Decoding: A Non-invasive Approach via Typing
• Zero-Shot Imagined Speech Decoding via Imagined-to-Listened MEG Mapping
• Representation Learning with Contrastive Predictive Coding
• SGDR: Stochastic Gradient Descent with Warm Restarts
• Self-supervised models of audio effectively explain human cortical responses to speech
• SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

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