Cover Image

Non-invasive Neural Decoding in Source Reconstructed Brain Space

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gideoni, Yonatan, Timms, Ryan Charles, Jones, Oiwi Parker
Format:	Preprint
Published:	2024
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Decoding individual words from non-invasive brain recordings across 723 participants
by: d'Ascoli, Stéphane, et al.
Published: (2024)

RPNT: Robust Pre-trained Neural Transformer -- A Pathway for Generalized Motor Decoding
by: Fang, Hao, et al.
Published: (2026)

On Creating A Brain-To-Text Decoder
by: Lamprou, Zenon, et al.
Published: (2025)

Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
by: Guney, Osman Berke, et al.
Published: (2023)

On the Optimality of Single-label and Multi-label Neural Network Decoders
by: Gültekin, Yunus Can, et al.
Published: (2025)

Decoding non-invasive brain activity with novel deep-learning approaches
by: Csaky, Richard
Published: (2025)

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations
by: Han, Kaiqiao, et al.
Published: (2024)

Robust Sparse Bayesian Learning Based on Minimum Error Entropy for Noisy High-Dimensional Brain Activity Decoding
by: Li, Yuanhao, et al.
Published: (2025)

Brain-to-Speech: Prosody Feature Engineering and Transformer-Based Reconstruction
by: Al-Radhi, Mohammed Salah, et al.
Published: (2026)

BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
by: Mayo, David, et al.
Published: (2024)

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

EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks
by: Han, Jinpei, et al.
Published: (2023)

Unlocking Non-Invasive Brain-to-Text
by: Jayalath, Dulhan, et al.
Published: (2025)

On Cokriging, Neural Networks, and Spatial Blind Source Separation for Multivariate Spatial Prediction
by: Muehlmann, Christoph, et al.
Published: (2020)

Inverse Reconstruction of Shock Time Series from Shock Response Spectrum Curves using Machine Learning
by: Watts, Adam, et al.
Published: (2026)

CoVariance Filters and Neural Networks over Hilbert Spaces
by: Battiloro, Claudio, et al.
Published: (2025)

PENGUIN: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model
by: Suzuki, Shuntaro, et al.
Published: (2026)

KAST-BAR: Knowledge-Anchored Semantically-Dynamic Topology Brain Autoregressive Modeling for Universal Neural Interpretation
by: Wang, Haoning, et al.
Published: (2026)

Disentangling Shared and Private Neural Dynamics with SPIRE: A Latent Modeling Framework for Deep Brain Stimulation
by: Soroushmojdehi, Rahil, et al.
Published: (2025)

Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction
by: Dempsey, Ryan G., et al.
Published: (2025)

EEG-to-Voice Decoding of Spoken and Imagined speech Using Non-Invasive EEG
by: Park, Hanbeot, et al.
Published: (2025)

Map-Based Path Loss Prediction in Multiple Cities Using Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2024)

Investigating Map-Based Path Loss Models: A Study of Feature Representations in Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2025)

Bridging Brain Signals and Language: A Deep Learning Approach to EEG-to-Text Decoding
by: Gedawy, Mostafa El, et al.
Published: (2025)

Exploring Deep Learning Models for EEG Neural Decoding
by: Dixen, Laurits, et al.
Published: (2025)

A Non-Intrusive Neural Quality Assessment Model for Surface Electromyography Signals
by: Lee, Cho-Yuan, et al.
Published: (2024)

BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
by: Xiao, Qinfan, et al.
Published: (2025)

Brain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery
by: Zhou, Xinliang, et al.
Published: (2025)

Deep Learning Based Sphere Decoding
by: Mohammadkarimi, Mostafa, et al.
Published: (2018)

Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
by: Lin, Zhidi, et al.
Published: (2025)

BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck
by: Zheng, Kaizhong, et al.
Published: (2022)

A Contrastive Learning Based Convolutional Neural Network for ERP Brain-Computer Interfaces
by: Cui, Yuntian, et al.
Published: (2024)

Informed Bootstrap Augmentation Improves EEG Decoding
by: Jeong, Woojae, et al.
Published: (2025)

What Physics do Data-Driven MoCap-to-Radar Models Learn?
by: Chen, Kevin, et al.
Published: (2026)

Graph Convolutional Neural Networks to Model the Brain for Insomnia
by: Monteiro, Kevin, et al.
Published: (2025)

Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network
by: Yang, Pu, et al.
Published: (2025)

Deep Riemannian Networks for End-to-End EEG Decoding
by: Wilson, Daniel, et al.
Published: (2022)