Computational Emotion Modeling and Reward System Dysfunction
This research uses computational psychiatry and reinforcement learning models to characterize anhedonia and reward processing deficits in depression and related conditions at mechanistic levels. Findings reveal computational signatures of hedonic dysfunction that inform biological treatment development.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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