Multiple Dopamine Systems: Weal and Woe of Dopamine.

Mitsuko Watabe-Uchida, Naoshige Uchida
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引用次数: 39

Abstract

The ability to predict future outcomes increases the fitness of the animal. Decades of research have shown that dopamine neurons broadcast reward prediction error (RPE) signals-the discrepancy between actual and predicted reward-to drive learning to predict future outcomes. Recent studies have begun to show, however, that dopamine neurons are more diverse than previously thought. In this review, we will summarize a series of our studies that have shown unique properties of dopamine neurons projecting to the posterior "tail" of the striatum (TS) in terms of anatomy, activity, and function. Specifically, TS-projecting dopamine neurons are activated by a subset of negative events including threats from a novel object, send prediction errors for external threats, and reinforce avoidance behaviors. These results indicate that there are at least two axes of dopamine-mediated reinforcement learning in the brain-one learning from canonical RPEs and another learning from threat prediction errors. We argue that the existence of multiple learning systems is an adaptive strategy that makes possible each system optimized for its own needs. The compartmental organization in the mammalian striatum resembles that of a dopamine-recipient area in insects (mushroom body), pointing to a principle of dopamine function conserved across phyla.

多重多巴胺系统:多巴胺的福与祸。
预测未来结果的能力提高了动物的适应性。几十年的研究表明,多巴胺神经元传播奖励预测误差(RPE)信号——实际奖励和预测奖励之间的差异——来驱动学习预测未来的结果。然而,最近的研究已经开始表明,多巴胺神经元比以前认为的更加多样化。在这篇综述中,我们将总结我们的一系列研究,这些研究显示了多巴胺神经元在纹状体(TS)后“尾巴”上的独特特性,包括解剖、活动和功能。具体来说,ts -投射多巴胺神经元被负面事件子集激活,包括来自新对象的威胁,发送对外部威胁的预测错误,并加强回避行为。这些结果表明,多巴胺介导的强化学习在大脑中至少有两个轴——一个是从典型rpe中学习,另一个是从威胁预测错误中学习。我们认为,多个学习系统的存在是一种自适应策略,使每个系统能够根据自己的需求进行优化。哺乳动物纹状体的区隔组织类似于昆虫(蘑菇体)的多巴胺受体区域,这表明多巴胺功能在门间是保守的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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