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EEG

Electroencephalography epilepsy

Papers

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Showing 1–25 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
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