Cover Image

Unlocking Non-Invasive Brain-to-Text

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jayalath, Dulhan, Landau, Gilad, Jones, Oiwi Parker
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training
by: Jayalath, Dulhan, et al.
Published: (2026)

The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning
by: Jayalath, Dulhan, et al.
Published: (2024)

Elementary, My Dear Watson: Non-Invasive Neural Keyword Spotting in the LibriBrain Dataset
by: Elvers, Gereon, et al.
Published: (2025)

LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale
by: Özdogan, Miran, et al.
Published: (2025)

Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings
by: Ridge, Jeremiah, et al.
Published: (2024)

Non-invasive Neural Decoding in Source Reconstructed Brain Space
by: Gideoni, Yonatan, et al.
Published: (2024)

Generalising Multi-Agent Cooperation through Task-Agnostic Communication
by: Jayalath, Dulhan, et al.
Published: (2024)

MEGnifying Emotion: Sentiment Analysis from Annotated Brain Data
by: Liu, Brian, et al.
Published: (2026)

The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset
by: Landau, Gilad, et al.
Published: (2025)

Gated Uncertainty-Aware Runtime Dual Invariants for Neural Signal-Controlled Robotics
by: Kim, Tasha, et al.
Published: (2025)

Group-level Brain Decoding with Deep Learning
by: Csaky, Richard, et al.
Published: (2022)

Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
by: Jayalath, Dulhan, et al.
Published: (2025)

MEG-GPT: A transformer-based foundation model for magnetoencephalography data
by: Huang, Rukuang, et al.
Published: (2025)

GPT2MEG: Quantizing MEG for Autoregressive Generation
by: Csaky, Richard, et al.
Published: (2024)

HorizonMath: Measuring AI Progress Toward Mathematical Discovery with Automatic Verification
by: Wang, Erik Y., et al.
Published: (2026)

A Systematic Evaluation of Sample-Level Tokenization Strategies for MEG Foundation Models
by: Cho, SungJun, et al.
Published: (2026)

Mai Ho'omāuna i ka 'Ai: Language Models Improve Automatic Speech Recognition in Hawaiian
by: Chaparala, Kaavya, et al.
Published: (2024)

Training AI Co-Scientists Using Rubric Rewards
by: Goel, Shashwat, et al.
Published: (2025)

MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems
by: Sunger, Elifnur, et al.
Published: (2024)

What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval
by: Zhang, Xinyu, et al.
Published: (2026)

Multilingual-To-Multimodal (M2M): Unlocking New Languages with Monolingual Text
by: Pasi, Piyush Singh
Published: (2026)

Markov flow policy -- deep MC
by: Soffair, Nitsan, et al.
Published: (2024)

Theoretical Guarantees for the Subspace-Constrained Tyler's Estimator
by: Lerman, Gilad, et al.
Published: (2024)

FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning
by: Wang, Huan, et al.
Published: (2025)

Logarithmic Width Suffices for Robust Memorization
by: Egosi, Amitsour, et al.
Published: (2025)

The effect of Leaky ReLUs on the training and generalization of overparameterized networks
by: Guo, Yinglong, et al.
Published: (2024)

On the Benefits of Rank in Attention Layers
by: Amsel, Noah, et al.
Published: (2024)

Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
by: Beurer-Kellner, Luca, et al.
Published: (2024)

Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs
by: Xu, Yuanyuan, et al.
Published: (2025)

HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks
by: Zeng, Yiming, et al.
Published: (2025)

Reviewing AI's Role in Non-Muscle-Invasive Bladder Cancer Recurrence Prediction
by: Abbas, Saram, et al.
Published: (2024)

A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection
by: Alsuhaibani, Muath, et al.
Published: (2024)

Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory
by: Jiang, Eric Hanchen, et al.
Published: (2024)

Stein Discrepancy for Unsupervised Domain Adaptation
by: von Seeger, Anneke, et al.
Published: (2025)

DUEL: Exact Likelihood for Masked Diffusion via Deterministic Unmasking
by: Turok, Gilad, et al.
Published: (2026)

Optimal Particle-based Approximation of Discrete Distributions (OPAD)
by: Afshar, Hadi Mohasel, et al.
Published: (2024)

A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep
by: Hussain, Zawar, et al.
Published: (2021)

Learning quantum states prepared by shallow circuits in polynomial time
by: Landau, Zeph, et al.
Published: (2024)

Q-Learning with Shift-Aware Upper Confidence Bound in Non-Stationary Reinforcement Learning
by: Bui, Ha Manh, et al.
Published: (2025)

Non-Invasive Reconstruction of Cardiac Activation Dynamics Using Physics-Informed Neural Networks
by: Dermul, Nathan, et al.
Published: (2026)