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Poster Session B: Wednesday, August 13, 1:00 – 4:00 pm, de Brug & E‑Hall

Valuation Precision: from Behavioral Measures to Computational Modeling and Neural Underpinnings

Hui-Kuan Chung¹, Hsin-Hung Li², Philippe Tobler; ¹University of Zurich, ²Ohio State University, Columbus

Presenter: Hui-Kuan Chung

Noise in value representations presents decision scientists with an identification problem. We measured trial-wise valuation precision using willingness-to-pay ranges for lotteries, where the range width indicates perceived valuation imprecision (uncertainty). Using a Bayesian inference model, we isolated distinct prior and likelihood components of valuation imprecision affecting the generation of value representations. Furthermore, upregulating norepinephrine and dopamine, but not acetylcholine increased valuation precision through these distinct components.

Topic Area: Predictive Processing & Cognitive Control

Extended Abstract: Full Text PDF