Decoding Arousal and Valence from Continuous MEG Data during Video Watching with Machine Learning

Decoding Arousal and Valence from Continuous MEG Data during Video Watching with Machine Learning

Mental disorders represent a prevalent and rising global health condition that is often closely associated with certain emotional states. Identification of emotional states based on brain function would have important consequences for mental illness diagnosis and personalized treatments. The curre...

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Bibliographic Details
Main Author: Aimysheva, Arna
Other Authors: Kasvatustieteiden ja psykologian tiedekunta, Faculty of Education and Psychology, Psykologian laitos, Department of Psychology, Jyväskylän yliopisto, University of Jyväskylä
Format: Master's thesis
Language:eng
Published: 2025
Subjects:
emotional states
arousal
valence
XGBoost
Psykologia
Psychology
tunteet
koneoppiminen
MEG
aivot
Online Access: https://jyx.jyu.fi/handle/123456789/103690

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