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...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Aimysheva, Arna
Muut tekijät: Kasvatustieteiden ja psykologian tiedekunta, Faculty of Education and Psychology, Psykologian laitos, Department of Psychology, Jyväskylän yliopisto, University of Jyväskylä
Aineistotyyppi: Pro gradu
Kieli:eng
Julkaistu: 2025
Aiheet:
emotional states
arousal
valence
XGBoost
Psykologia
Psychology
tunteet
koneoppiminen
MEG
aivot
Linkit: https://jyx.jyu.fi/handle/123456789/103690

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