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SSVEP
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Classification of examples recorded under the Steady-State Visually Evoked Potential (SSVEP) paradigm, as part of Brain-Computer Interfaces (BCI).
A number of SSVEP datasets can be downloaded using the MOABB library: SSVEP datasets list
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SSVEP-BiMA: Bifocal Masking Attention Leveraging Native and Symmetric-Antisymmetric Components for Robust SSVEP Decoding
Hybrid Brain-Machine Interface: Integrating EEG and EMG for Reduced Physical Demand
IncepFormerNet: A multi-scale multi-head attention network for SSVEP classification
Improving SSVEP BCI Spellers With Data Augmentation and Language Models
Adapting the Biological SSVEP Response to Artificial Neural Networks
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System
The VEP Booster: A Closed-Loop AI System for Visual EEG Biomarker Auto-generation
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention
Lateral Control of Brain-Controlled Vehicle Based on SVM Probability Output Model
SSVEP-DAN: A Data Alignment Network for SSVEP-based Brain Computer Interfaces
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition
SSVEP-Based BCI Wheelchair Control System
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing
Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
Short-length SSVEP data extension by a novel generative adversarial networks based framework
Information Transfer Rate in BCIs: Towards Tightly Integrated Symbiosis
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network
A Transformer-based deep neural network model for SSVEP classification
Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific Training
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding
Brain-Computer Interfaces: Investigating the Transition from Visually Evoked to Purely Imagined Steady-State Potentials
An Adaptive Task-Related Component Analysis Method for SSVEP recognition
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer Interfaces
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks
Phase Entrainment by Periodic Stimuli In Silico: A Quantitative Study
Frequency Superposition -- A Multi-Frequency Stimulation Method in SSVEP-based BCIs
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning
Quantifying Synchronization in a Biologically Inspired Neural Network
A Deep Neural Network for SSVEP-based Brain-Computer Interfaces
Multi-Frequency Canonical Correlation Analysis (MFCCA): A Generalised Decoding Algorithm for Multi-Frequency SSVEP
Deep Multi-Task Learning for SSVEP Detection and Visual Response Mapping
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification
Hybrid Template Canonical Correlation Analysis Method for Enhancing SSVEP Recognition under data-limited Condition
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