Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG

Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG

This study applies adaptive mixture independent component analysis (AMICA) to learn a set of ICA models, each optimized by fitting a distributional model for each identified component process while maximizing component process independence within some subsets of time points of a multi-channel EEG da...

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Bibliographic Details
Main Authors: Sheng-Hsiou Hsu, Yayu Lin, Julie Onton, Tzyy-Ping Jung, Scott Makeig
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:NeuroImage
Subjects:
Emotion
Affective computing
Electroencephalography (EEG)
Brain states
Non-stationarity
Independent component analysis (ICA)
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922000039

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http://www.sciencedirect.com/science/article/pii/S1053811922000039

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