Sökning: "neuroimaging"
Visar resultat 11 - 15 av 60 uppsatser innehållade ordet neuroimaging.
11. The brain in conversation: Mapping the neural correlates of turn-taking, production, and comprehension using fMRI
Magister-uppsats, Stockholms universitet/Institutionen för lingvistikSammanfattning : Conversation is the primary mode of language use. A key feature of conversation is turn-taking, during which interlocutors rapidly switch between speaker and listener roles without conscious effort. LÄS MER
12. Neural and Psychological Effects of Compassion Training: A Systematic Review
Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : Compassion is an affective state and comprises recognition of the suffering of others and a motivation to help them. Studies have indicated that compassion is trainable and compassion training based on contemplative practice has beneficial effects on well-being. LÄS MER
13. Structural and Functional Brain Changes due to Pregnancy and Early Postpartum Period: A Systematic Review
Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : A big part of the female population experience pregnancy and giving birth. Evidence from animal studies indicates numerous adaptations in the brain throughout pregnancy and the postpartum period. The effects on the human brain are not as well studied, which is problematic due to the complexity of comparing species. LÄS MER
14. Gender Differences in the Neural Basis of Emotion Regulation: A Systematic Review
Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : Gender differences in emotion regulation (ER) are well documented, but studies have often relied on behavioral and self-report data. Less is known about gender differences in the neural basis of ER. This systematic review aims to fill this gap and investigate gender differences in the neural basis of ER. LÄS MER
15. Feature extraction from MEG data using self-supervised learning : Investigating contrastive representation learning methods to f ind informative representations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Modern day society is vastly complex, with information and data constantly being posted, shared, and collected everywhere. There is often an abundance of massive amounts of unlabeled data that can not be leveraged in a supervised machine learning context. LÄS MER