A GRU-CNN Model for Auditory Attention Detection using Microstate and Recurrence Quantification Analysis

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology,
auditory attention detection   GRU-CNN   EEG   microstate analysis   machine learning algorithms   multivariate features   recurrence quantification analysis  

Overview and Report: Application of GRU-CNN Model Based on Microstate and Recurrence Quantification Analysis in Auditory Attention Detection Background and Research Motivation Attention, as a cognitive ability, plays a crucial role in the perception process, helping humans to focus on specific objects while ignoring other distractions in a complex ...

Attention-Guided Graph Structure Learning Network for EEG-enabled Auditory Attention Detection

Attention-Guided Graph Structure Learning Network for EEG-enabled Auditory Attention Detection

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence, Medicine, Neurology,
auditory attention detection   electroencephalography   graph structure learning   graph convolutional network   neuro-steered hearing aids  

Application of Attention-guided Graph Structure Learning Network for EEG-enabled Auditory Attention Detection Academic Background The “cocktail party effect” describes the human brain’s ability to selectively concentrate attention on one speaker while ignoring others in a multi-talker environment. However, for individuals with hearing impairments, ...