Department of Psychiatry, Columbia University, New York, NY 10032, USA; Department of Integrative Neuroscience, New York State Psychiatric Institute, New York, NY 10032, USA.
Neuron. 2013 Dec 4;80(5):1109-11. doi: 10.1016/j.neuron.2013.11.014.
Learning models propose a role for both signed and unsigned prediction errors in updating associations between cues and aversive outcomes. In this issue of Neuron, Klavir et al. (2013) show how these errors arise from the interplay between the amygdala and anterior cingulate cortex.
学习模型提出，有符号和无符号预测误差在更新线索和厌恶结果之间的关联中都起着作用。在本期《神经元》中，Klavir 等人（2013）展示了这些误差如何产生于杏仁核和前扣带皮层之间的相互作用。
