Topic: model-inferred value

From picking dinner to college courses, the choices we make reflect our past experiences and momentary preferences. The value of a choice is inherently subjective, internal to a decision maker, yet we need to identify objective measures to study its neural basis. According to learning theory, value can be inferred from reinforcement history through an algorithmic computation (‘model-inferred value’). In contrast, in behavioral economics, appropriately designed tasks can elicit choice patterns that reveal subjective preferences (‘revealed choice value’). However, the relationship between these