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Serotonin has been associated with a wide range of neural computations and behaviours, yet an overarching function of this neurotransmitter has been hard to pinpoint. Here, we combine recent theories and findings on serotonin, and propose a framework where serotonin integrates information on resource availability and state value, to represent a cost-benefit trade-off at the neural level. Critically, this framework supports meta-decision making, i.e. the flexible allocation of resources to decision-making. We highlight a computational and neural implementation of this framework, and through this novel lens interpret empirical findings in the domains of controllability and persistence.
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Koolschijn et al. (2024) studied this question.
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