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EEG
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Electroencephalography epilepsy
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
EEGM2: An Efficient Mamba-2-Based Self-Supervised Framework for Long-Sequence EEG Modeling
Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Single-Channel EEG Tokenization Through Time-Frequency Modeling
Electrophysiological Investigation of Insect Pain Threshold
Assessing a Single Student's Concentration on Learning Platforms: A Machine Learning-Enhanced EEG-Based Framework
Graph-Based Deep Learning on Stereo EEG for Predicting Seizure Freedom in Epilepsy Patients
M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards
Parameter Estimation of the Network of FitzHugh-Nagumo Neurons Based on the Speed-Gradient and Filtering
SleepGMUformer: A gated multimodal temporal neural network for sleep staging
Poststroke rehabilitative mechanisms in individualized fatigue level-controlled treadmill training -- a Rat Model Study
Beyond Performance Scores: Directed Functional Connectivity as a Brain-Based Biomarker for Motor Skill Learning and Retention
Dynamic directed functional connectivity as a neural biomarker for objective motor skill assessment
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic Discharges
Brain-to-Text Decoding: A Non-invasive Approach via Typing
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
MVCNet: Multi-View Contrastive Network for Motor Imagery Classification
A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond
Hybrid Brain-Machine Interface: Integrating EEG and EMG for Reduced Physical Demand
Revisiting Euclidean Alignment for Transfer Learning in EEG-Based Brain-Computer Interfaces
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
EEG Artifact Detection and Correction with Deep Autoencoders
Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks
CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP Tasks
From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production
Emotional EEG Classification using Upscaled Connectivity Matrices
From Brainwaves to Brain Scans: A Robust Neural Network for EEG-to-fMRI Synthesis
Large Cognition Model: Towards Pretrained EEG Foundation Model
Bridging Brain Signals and Language: A Deep Learning Approach to EEG-to-Text Decoding
FEMBA: Efficient and Scalable EEG Analysis with a Bidirectional Mamba Foundation Model
Retrieving Filter Spectra in CNN for Explainable Sleep Stage Classification
Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
Protecting Intellectual Property of EEG-based Neural Networks with Watermarking
Neurophysiological correlates to the human brain complexity through $q$-statistical analysis of electroencephalogram
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.