Discrete coding of reward probability and uncertainty by dopamine neurons
Discrete coding of reward probability and uncertainty by dopamine neurons
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DOI：
10.1126/science.1077349
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发表时间：
2003-03-21
期刊：
影响因子：
56.9
通讯作者：
Schultz, W
中科院分区：
文献类型：
--
作者：
Fiorillo, CD;Tobler, PN;Schultz, W
不确定性对于信息的衡量和评估预测的准确性至关重要。它由概率P决定，P是最大的。在P = 0.5时，并且在更高和更低的概率下降低。使用不同的刺激来指示奖励的概率，我们发现多巴胺神经元的阶段性激活在整个概率范围内单调变化，支持过去的说法，即这种反应编码预测和实际奖励之间的差异。相比之下，以前未观察到的反应与不确定性共同变化，包括活动的逐渐增加，直到潜在的奖励时间。不确定性的编码表明多巴胺信号在基于注意力的学习和冒险行为中可能发挥作用。
Uncertainty is critical in the measure of information and in assessing the accuracy of predictions. It is determined by probability P, being maximal. at P = 0.5 and decreasing at higher and lower probabilities. Using distinct stimuli to indicate the probability of reward, we found that the phasic activation of dopamine neurons varied monotonically across the full range of probabilities, supporting past claims that this response codes the discrepancy between predicted and actual reward. In contrast, a previously unobserved response co-varied with uncertainty and consisted of a gradual increase in activity until the potential time of reward. The coding of uncertainty suggests a possible role for dopamine signals in attention-based learning and risk-taking behavior.