Rodriguez P F, Aron A R, Poldrack R A
Department of Cognitive Science, University of California, Irvine, USA.
Hum Brain Mapp. 2006 Apr;27(4):306-13. doi: 10.1002/hbm.20186.
A prominent theory in neuroscience suggests reward learning is driven by the discrepancy between a subject's expectation of an outcome and the actual outcome itself. Furthermore, it is postulated that midbrain dopamine neurons relay this mismatch to target regions including the ventral striatum. Using functional MRI (fMRI), we tested striatal responses to prediction errors for probabilistic classification learning with purely cognitive feedback. We used a version of the Rescorla-Wagner model to generate prediction errors for each subject and then entered these in a parametric analysis of fMRI activity. Activation in ventral striatum/nucleus-accumbens (Nacc) increased parametrically with prediction error for negative feedback. This result extends recent neuroimaging findings in reward learning by showing that learning with cognitive feedback also depends on the same circuitry and dopaminergic signaling mechanisms.
神经科学中的一个著名理论认为，奖励学习是由主体对结果的期望与实际结果之间的差异驱动的。此外，据推测，中脑多巴胺神经元将这种不匹配传递到包括腹侧纹状体在内的目标区域。我们使用功能磁共振成像（fMRI），测试了纹状体对具有纯认知反馈的概率分类学习中的预测误差的反应。我们使用Rescorla-Wagner模型的一个版本为每个受试者生成预测误差，然后将这些误差输入到fMRI活动的参数分析中。腹侧纹状体/伏隔核（Nacc）的激活随着负反馈的预测误差呈参数性增加。这一结果扩展了奖励学习中最近的神经影像学发现，表明基于认知反馈的学习也依赖于相同的神经回路和多巴胺能信号机制。
