Richard Naud: A prospective code for value in the serotonin system

University of Ottawa

The in vivo responses of dorsal raphe nucleus (DRN) serotonin neurons to emotionally salient stimuli are a puzzle. Existing theories centred on reward, surprise, salience, and uncertainty individually account for some aspects of serotonergic activity but not others. Merging ideas from reinforcement learning (RL) theory with recent insights into the filtering properties of the DRN, here we find a unifying perspective in a prospective code for value. This biological code for near-future reward explains why serotonin neurons are activated by both rewards and punishments, and why these neurons are more strongly activated by surprising rewards but have no such surprise preference for punishments---observations that previous theories have failed to reconcile. Finally, our model quantitatively predicts in vivo population activity better than previous theories. By reconciling previous theories and establishing a precise connection with reinforcement learning, our work represents an important step toward understanding the role of serotonin in learning and behaviour.

 

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Organized by

Prof. Henning Sprekeler / Lisa Rosenblum