Misdeed of the need: towards computational accounts of transition to addiction.
Misdeed of the need: towards computational accounts of transition to addiction.
复制标题
需求的不当行为:对向成瘾过渡的计算解释。
DOI:
10.1016/j.conb.2017.08.014
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发表时间:
2017
影响因子:
5.7
通讯作者:
Gutkin,BorisS
中科院分区:
文献类型:
--
作者:
Keramati,Mehdi;Ahmed,SergeH;Gutkin,BorisS
HighlightsReinforcement learning models link dopamine to acquisition of drug-oriented behaviors.Recent computational theory completes them by adding goal hierarchy and homeostasis.Addiction is reconceptualized as a goal-directed homeostatic reinforcement disorder.Drug addiction is a complex behavioral and neurobiological disorder which, in an emergent brain-circuit view, reflects a loss of prefrontal top-down control over subcortical circuits governing drug-seeking and drug-taking. We first review previous computational accounts of addiction, focusing on cocaine addiction and on prevalent dopamine-based positive-reinforcement and negative-reinforcement computational models. Then, we discuss a recent computational proposal that the progression to addiction is unlikely to result from a complete withdrawal of the goal-oriented decision system in favor the habitual one. Rather, the transition to addiction would arise from a drug-induced alteration in the structure of organismal needs which reorganizes the goal structure, ultimately favoring predominance of drug-oriented goals. Finally, we outline unmet challenges for future computational research on addiction.