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多巴胺神经元对奖励价值的适应性编码。

Adaptive coding of reward value by dopamine neurons.

作者信息

Tobler Philippe N, Fiorillo Christopher D, Schultz Wolfram

机构信息

Department of Anatomy, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK, and Institute of Physiology, University of Fribourg, CH-1700 Fribourg, Switzerland.

出版信息

Science. 2005 Mar 11;307(5715):1642-5. doi: 10.1126/science.1105370.

Abstract

It is important for animals to estimate the value of rewards as accurately as possible. Because the number of potential reward values is very large, it is necessary that the brain's limited resources be allocated so as to discriminate better among more likely reward outcomes at the expense of less likely outcomes. We found that midbrain dopamine neurons rapidly adapted to the information provided by reward-predicting stimuli. Responses shifted relative to the expected reward value, and the gain adjusted to the variance of reward value. In this way, dopamine neurons maintained their reward sensitivity over a large range of reward values.

摘要

对动物来说,尽可能准确地估计奖励的价值很重要。由于潜在奖励价值的数量非常大,有必要分配大脑有限的资源,以便以牺牲不太可能的结果为代价,更好地区分更有可能的奖励结果。我们发现,中脑多巴胺神经元会迅速适应奖励预测刺激所提供的信息。反应相对于预期奖励价值发生了变化,增益也根据奖励价值的方差进行了调整。通过这种方式,多巴胺神经元在大范围的奖励价值上保持了它们的奖励敏感性。

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