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EEG

Electroencephalography epilepsy

Papers

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Showing 401–425 of 2431 papers

TitleStatusHype
Binary classification of multi-channel EEG records based on the ε-complexity of continuous vector functions—0
Binary Single-dimensional Convolutional Neural Network for Seizure Prediction—0
A Neural-Inspired Architecture for EEG-Based Auditory Attention Detection—0
Biomagnetic signals recorded during transcranial magnetic stimulation (TMS)-evoked peripheral muscular activity—0
Biophysical aspects of neurocognitive modeling with long-term sustained temperature variations—0
BioSerenity-E1: a self-supervised EEG model for medical applications—0
An Ensemble Learning Based Classification of Individual Finger Movement from EEG—0
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring—0
Bispectrum Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types—0
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease—0
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging—0
Blink Rate Variability during resting and reading sessions—0
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis—0
An information-theoretic model of shallow and deep language comprehension—0
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning—0
BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings—0
Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention—0
Brain Age from the Electroencephalogram of Sleep—0
An intertwined neural network model for EEG classification in brain-computer interfaces—0
Brain-based control of car infotainment—0
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision—0
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition—0
A GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems—0
Brain-Computer Interfaces: Investigating the Transition from Visually Evoked to Purely Imagined Steady-State Potentials—0
A framework to reconcile frequency scaling measurements, from intracellular recordings, local-field potentials, up to EEG and MEG signals—0
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