S-Space: Seoul National University
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Rapid and reliable computational markers of decision-making for predicting daily smoking behavior and smoking cessation treatment outcomes
Addiction involves rapidly fluctuating affective and value-based decision-making processes that undermine cessation efforts, yet capturing these dynamics at clinically meaningful timescales remains challenging. Standard cognitive decision-making tasks are time-intensive and require many trials to ac
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