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EEG

Electroencephalography epilepsy

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Showing 1001–1025 of 2431 papers

TitleStatusHype
Threshold distribution of equal states for quantitative amplitude fluctuations—0
A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism—0
Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep LearningCode0
A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation—0
Intentional binding enhances hybrid BCI control—0
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision—0
SCVCNet: Sliding cross-vector convolution network for cross-task and inter-individual-set EEG-based cognitive workload recognitionCode0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification—0
Phase Synchrony Component Self-Organization in Brain Computer Interface—0
A Multi Constrained Transformer-BiLSTM Guided Network for Automated Sleep Stage Classification from Single-Channel EEG—0
Markov Chain-Guided Graph Construction and Sampling Depth Optimization for EEG-Based Mental Disorder Detection—0
Epileptic seizure forecasting with long short-term memory (LSTM) neural networks—0
Electroencephalogram Sensor Data Compression Using An Asymmetrical Sparse Autoencoder With A Discrete Cosine Transform Layer—0
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023—0
mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink DetectionCode0
Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology—0
A standardised open science framework for sharing and re-analysing neural data acquired to continuous stimuli—0
Diminished circadian and ultradian rhythms of human brain activity in pathological tissue in vivo—0
Sleep Stage Classification Using a Pre-trained Deep Learning Model—0
Systematic Review of Experimental Paradigms and Deep Neural Networks for Electroencephalography-Based Cognitive Workload Detection—0
Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability—0
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion modelsCode0
Mapping EEG Signals to Visual Stimuli: A Deep Learning Approach to Match vs. Mismatch Classification—0
Early warning indicators via latent stochastic dynamical systems—0
DGSD: Dynamical Graph Self-Distillation for EEG-Based Auditory Spatial Attention Detection—0
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