Prediction error during retrospective revaluation of causal associations in humans: fMRI evidence in favor of an associative model of learning
Prediction error during retrospective revaluation of causal associations in humans: fMRI evidence in favor of an associative model of learning
复制标题
DOI：
10.1016/j.neuron.2004.11.022
复制
发表时间：
2004-12-02
期刊：
影响因子：
16.2
通讯作者：
Fletcher, PC
中科院分区：
文献类型：
--
作者：
Corlett, PR;Aitken, MRF;Fletcher, PC
联想学习理论认为预测误差是学习的驱动力。另一个与之竞争的观点，概率对比（PC）理论，认为学习和预测误差是不相关的。我们测试了一个学习现象，已被证明是麻烦的联想理论回顾性重估，以评估这两个模型。我们以前表明，激活右侧前额叶皮层（PFC）提供了一个可靠的签名的预测误差的存在。因此，如果联想观是正确的，回顾性再评估应伴随右侧PFC激活。这种激活的缺失将支持PC理论。在回顾性重新评估过程中，右侧PFC和腹侧纹状体激活，支持相关性解释。激活似乎反映了重估的程度，预测了后来大脑对重估线索的反应。我们的研究结果支持一个修改后的联想帐户的回顾性重估，并证明了功能性神经影像学作为一种工具，用于评估竞争的学习模型的潜力。
Associative learning theory assumes that prediction error is a driving force in learning. A competing view, probabilistic contrast (PC) theory, is that learning and prediction error are unrelated. We tested a learning phenomenon that has proved troublesome for associative theory-retrospective revaluation-to evaluate these two models. We previously showed that activation in right lateral prefrontal cortex (PFC) provides a reliable signature for the presence of prediction error. Thus, if the associative view is correct, retrospective revaluation should be accompanied by right lateral PFC activation. PC theory would be supported by the absence of this activation. Right PFC and ventral striatal activation occurred during retrospective revaluation, supporting the associative account. Activations appeared to reflect the degree of revaluation, predicting later brain responses to revalued cues. Our results support a modified associative account of retrospective revaluation and demonstrate the potential of functional neuroimaging as a tool for evaluating competing learning models.