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EEG

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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Uncertainty-Aware Cross-Modal Knowledge Distillation with Prototype Learning for Multimodal Brain-Computer Interfaces

Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding

CATVis: Context-Aware Thought Visualization

An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework

eegFloss: A Python package for refining sleep EEG recordings using machine learning models

DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding

AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification

The time course of visuo-semantic representations in the human brain is captured by combining vision and language models

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding

Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer

Efficient and faithful reconstruction of dynamical attractors using homogeneous differentiators

On using AI for EEG-based BCI applications: problems, current challenges and future trends

Leveraging Transfer Learning and User-Specific Updates for Rapid Training of BCI Decoders

Exploring EEG Indicators to Evaluate Listening Difficulties in Noisy Environments

A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations

Differences in Neurovascular Coupling in Patients with Major Depressive Disorder: Evidence from Simultaneous Resting-State EEG-fNIRS

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm

PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention

MMME: A Spontaneous Multi-Modal Micro-Expression Dataset Enabling Visual-Physiological Fusion

Quantifying Data Requirements for EEG Independent Component Analysis Using AMICA

Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels

The Predictive Brain: Neural Correlates of Word Expectancy Align with Large Language Model Prediction Probabilities

SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

Decoding Saccadic Eye Movements from Brain Signals Using an Endovascular Neural Interface

Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms

Novel software for continuous wavelet analysis enable EEG real-time analysis on portable computers

Neural Responses to Affective Sentences Reveal Signatures of Depression

Sub-Scalp EEG for Sensorimotor Brain-Computer Interface

StARS DCM: A Sleep Stage-Decoding Forehead EEG Patch for Real-time Modulation of Sleep Physiology

Minimally Invasive Brain Computer Interfaces: Evaluating the Impact of Tissue Layers on Signal Quality of Sub-Scalp EEG

EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology

Large Language Models for EEG: A Comprehensive Survey and Taxonomy

EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG

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