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EEG

Electroencephalography epilepsy

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Showing 1–50 of 2431 papers

TitleStatusHype
NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG applicationCode1
Uncertainty-Aware Cross-Modal Knowledge Distillation with Prototype Learning for Multimodal Brain-Computer Interfaces—0
Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback—0
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding—0
CATVis: Context-Aware Thought Visualization—0
An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework—0
eegFloss: A Python package for refining sleep EEG recordings using machine learning modelsCode1
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
The time course of visuo-semantic representations in the human brain is captured by combining vision and language models—0
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding—0
Efficient and faithful reconstruction of dynamical attractors using homogeneous differentiatorsCode0
Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological TransformerCode0
On using AI for EEG-based BCI applications: problems, current challenges and future trendsCode1
Leveraging Transfer Learning and User-Specific Updates for Rapid Training of BCI Decoders—0
Exploring EEG Indicators to Evaluate Listening Difficulties in Noisy Environments—0
A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations—0
TCANet: A Temporal Convolutional Attention Network for Motor Imagery EEG DecodingCode1
Differences in Neurovascular Coupling in Patients with Major Depressive Disorder: Evidence from Simultaneous Resting-State EEG-fNIRS—0
CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm—0
Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention—0
PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation—0
Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels—0
Quantifying Data Requirements for EEG Independent Component Analysis Using AMICA—0
MMME: A Spontaneous Multi-Modal Micro-Expression Dataset Enabling Visual-Physiological FusionCode0
The Predictive Brain: Neural Correlates of Word Expectancy Align with Large Language Model Prediction Probabilities—0
Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task—0
SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging modelsCode1
Novel software for continuous wavelet analysis enable EEG real-time analysis on portable computers—0
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigmsCode0
Decoding Saccadic Eye Movements from Brain Signals Using an Endovascular Neural Interface—0
Neural Responses to Affective Sentences Reveal Signatures of Depression—0
Minimally Invasive Brain Computer Interfaces: Evaluating the Impact of Tissue Layers on Signal Quality of Sub-Scalp EEG—0
Sub-Scalp EEG for Sensorimotor Brain-Computer Interface—0
StARS DCM: A Sleep Stage-Decoding Forehead EEG Patch for Real-time Modulation of Sleep Physiology—0
EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology—0
Large Language Models for EEG: A Comprehensive Survey and Taxonomy—0
EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG—0
Getting More from Less: Transfer Learning Improves Sleep Stage Decoding Accuracy in Peripheral Wearable Devices—0
Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEGCode1
M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker ExtractionCode0
Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification—0
Category-aware EEG image generation based on wavelet transform and contrast semantic lossCode0
From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data—0
Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG—0
EAD: An EEG Adapter for Automated Classification—0
A Feasibility Study of Task-Based fMRI at 0.55 T—0
The Study of Human Preference Based on Integrated Analysis of N1 and LPP Components—0
Capturing Aperiodic Temporal Dynamics of EEG Signals through Stochastic Fluctuation Modeling—0
Multi-Modal Spectral Parametrization Method (MMSPM) for analyzing EEG activity with distinct scaling regimesCode0
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