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Computational Models of Aversive Processing: Serotonin, Dopamine and Stress

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Dayan, P. (2007). Computational Models of Aversive Processing: Serotonin, Dopamine and Stress. Talk presented at 39th Annual General Meeting of the European Brain and Behaviour Society (EBBS 2007). Trieste, Italy. 2007-09-15 - 2007-09-19.

Cite as: http://hdl.handle.net/21.11116/0000-0002-D90D-C
A wealth of evidence supports the notions that (i) the phasic activity of dopamine cells reports a temporally sophisticated prediction error for the delivery of rewards; that (ii) targets of these cells, including the amygdala and ventral and dorsal striatum, are involved in learning about and representing both appetitive predictions of future rewards and also the actions that will result in maximizing their delivery; and that (iii) there is a complex interaction between this scheme for the control of behaviour, which is associated with outcome-insensitive habits, and a model-based scheme, associated with outcome-sensitive or goal-directed actions, which appears to be realized in prefrontal structures. Despite an impressively extensive range of experimental findings, our understanding of the nature and realization of aversive processing appears to be rather less far advanced. One possibility is that serotonin might play a role as the sort of aversive opponent to dopamine that has been mooted and investigated from a psychological perspective. However, appetitive and aversive processing are far from being mirror images of each other psychologically, and indeed dopamine and serotonin, despite evidence for some mutually inhibitory interactions, are far from being mirror images of each other neurally. We will provide a computational examination of aversive processing in general, and opponency in particular.