From Neurons to Conversation: Speech Brain-Computer Interfaces

arXiv:2609.36736 · cs.HC, cs.CL, q-bio.NC · Submitted 2026-09-29 · Read on arXiv

cs.HC, cs.CL, q-bio.NC

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Adaptation — 52× in this paper · explained in 1 episode
• Alignment — 36× in this paper · explained in 1 episode
• Accuracy — 34× in this paper · explained in 1 episode
• Calibration — 34× in this paper · explained in 7 episodes
• Robustness — 19× in this paper · explained in 5 episodes
• Generalization — 14× in this paper · explained in 13 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Transformer — 10× in this paper · explained in 2 episodes
• Foundation Model — 9× in this paper · explained in 3 episodes
• Foundation Models — 8× in this paper · explained in 7 episodes
• Personalization — 8× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Abstention — 7× in this paper · explained in 1 episode
• Accountability — 7× in this paper · explained in 2 episodes
• Fidelity — 7× in this paper · explained in 2 episodes
• Embeddings — 6× in this paper · explained in 2 episodes
• Self-Supervised Learning — 6× in this paper · explained in 8 episodes
• Decode — 5× in this paper · explained in 2 episodes
• Latent Space — 5× in this paper · explained in 7 episodes
• Non-stationarity — 5× in this paper · explained in 2 episodes
• Contrastive Learning — 4× in this paper · explained in 5 episodes
• International Conference on Machine Learning — 4× in this paper
• fNIRS — 4× in this paper · explained in 2 episodes
• Abstraction — 3× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 3 episodes
• Cognitive Load — 3× in this paper · explained in 2 episodes
• Connectionist Temporal Classification — 3× in this paper
• Interpretability — 3× in this paper · explained in 15 episodes
• Provenance — 3× in this paper · explained in 4 episodes
• Core — 2× in this paper · explained in 2 episodes
• Distribution Shift — 2× in this paper · explained in 6 episodes
• Evaluation Dimensions — 2× in this paper · explained in 3 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Pseudo-labels — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Abstention mechanism — 1× in this paper · explained in 1 episode
• Aleatoric Uncertainty — 1× in this paper · explained in 5 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Closed-Loop Control — 1× in this paper · explained in 3 episodes
• Conformal Prediction — 1× in this paper · explained in 5 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Credit assignment — 1× in this paper · explained in 3 episodes
• Cross-lingual Transfer — 1× in this paper · explained in 2 episodes
• Epistemic Uncertainty — 1× in this paper · explained in 10 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Frustration — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Hybrid Models — 1× in this paper · explained in 2 episodes
• Latent Dynamics — 1× in this paper · explained in 2 episodes
• Low-Resource Languages — 1× in this paper · explained in 4 episodes
• Monte Carlo dropout — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Online Adaptation — 1× in this paper · explained in 3 episodes
• Pragmatics — 1× in this paper · explained in 2 episodes
• Pseudo-labeling — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Sample Complexity — 1× in this paper · explained in 15 episodes
• Self-Supervised Learning (SSL) — 1× in this paper · explained in 4 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• A cross-species neural foundation model for end-to-end speech decoding
• The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning
• Emergence of Language in the Developing Brain
• Temporal structure of the language hierarchy within small cortical patches
• From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production
• Decoding the decoder: Contextual sequence-to-sequence modeling for intracortical speech decoding
• A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings

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