Modelling the effect of dorsal raphe serotonin neurons on patience for future rewards

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Abstract

Serotonin is a neurotransmitter that is implicated in many basic human functions and behaviours and is closely associated with happiness, depression and reward processing. In particular it appears to be involved in suppressing responses to distracting stimuli while waiting for a delayed reward. Here we present a system level model of the limbic system which is able to generate a serotonin (5-hydroxytryptamine [5HT]) signal so that a simulated animal waits for a delayed reward. We propose that the 5HT signal is computed by a network involving the medial Orbital Frontal Cortex (mOFC), medial Pre Frontal Cortex (mPFC), Dorsal Raphe Nucleus (DRN)and the Nucleus Accumbens Core (NAcc). The serotonin signal encodes pre-reward liking, motivation throughout the trial and delayed reward waiting. We have successfully replicated the behaviour and dynamics of laboratory studies. With the help of this model we can predict that low levels of serotonin indirectly cause less encountered rewards because the animal gives up too early.

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Sutherland, M., & Porr, B. (2016). Modelling the effect of dorsal raphe serotonin neurons on patience for future rewards. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9825 LNCS, pp. 256–266). Springer Verlag. https://doi.org/10.1007/978-3-319-43488-9_23

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