A GRU–CNN model for auditory attention detection using microstate and recurrence quantification analysis

A GRU–CNN model for auditory attention detection using microstate and recurrence quantification analysis

Abstract Attention as a cognition ability plays a crucial role in perception which helps humans to concentrate on specific objects of the environment while discarding others. In this paper, auditory attention detection (AAD) is investigated using different dynamic features extracted from multichanne...

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Bibliographic Details
Main Authors: MohammadReza EskandariNasab, Zahra Raeisi, Reza Ahmadi Lashaki, Hamidreza Najafi
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Auditory attention detection
GRU–CNN
EEG
Microstate analysis
Machine learning algorithms
Multivariate features
Online Access:https://doi.org/10.1038/s41598-024-58886-y

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