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Brain Decoding
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Motor Brain Decoding is fundamental task for building motor brain computer interfaces (BCI).
Progress in predicting finger movements based on brain activity allows us to restore motor functions and improve rehabilitation process of patients.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CATVis: Context-Aware Thought Visualization
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning
DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
Dense360: Dense Understanding from Omnidirectional Panoramas
Lightweight and Robust Multi-Channel End-to-End Speech Recognition with Spherical Harmonic Transform
CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm
The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset
Decoding Saccadic Eye Movements from Brain Signals Using an Endovascular Neural Interface
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
Toward High Accuracy DME for Alternative Aircraft Positioning: SFOL Pulse Transmission in High-Power DME
A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings
Sub-Scalp EEG for Sensorimotor Brain-Computer Interface
Minimally Invasive Brain Computer Interfaces: Evaluating the Impact of Tissue Layers on Signal Quality of Sub-Scalp EEG
FinRobot: Generative Business Process AI Agents for Enterprise Resource Planning in Finance
EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology
From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data
AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing
Non-invasive two-step strategy BCI: brain-muscle-hand interface
The Study of Human Preference Based on Integrated Analysis of N1 and LPP Components
BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics
Conditional Panoramic Image Generation via Masked Autoregressive Modeling
Exploring The Visual Feature Space for Multimodal Neural Decoding
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry
Unlocking Non-Invasive Brain-to-Text
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding
SepPrune: Structured Pruning for Efficient Deep Speech Separation
Covariance Density Neural Networks
Differentiable Channel Selection in Self-Attention For Person Re-Identification
Real-Time Brain-Computer Interface Control of Walking Exoskeleton with Bilateral Sensory Feedback
Pretraining Large Brain Language Model for Active BCI: Silent Speech
Transferring Spatial Filters via Tangent Space Alignment in Motor Imagery BCIs
A Real-time and Hardware Efficient Artfecat-free Spike Sorting Using Deep Spike Detection
SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.