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Separate brain regions code for salience vs. valence during reward prediction in humans.

机译:在人类的奖励预测过程中,单独的大脑区域编码着显着性与化合价。

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摘要

Predicting rewards and avoiding aversive conditions is essential for survival. Recent studies using computational models of reward prediction implicate the ventral striatum in appetitive rewards. Whether the same system mediates an organism's response to aversive conditions is unclear. We examined the question using fMRI blood oxygen level-dependent measurements while healthy volunteers were conditioned using appetitive and aversive stimuli. The temporal difference learning algorithm was used to estimate reward prediction error. Activations in the ventral striatum were robustly correlated with prediction error, regardless of the valence of the stimuli, suggesting that the ventral striatum processes salience prediction error. In contrast, the orbitofrontal cortex and anterior insula coded for the differential valence of appetitive/aversive stimuli. Given its location at the interface of limbic and motor regions, the ventral striatum may be critical in learning about motivationally salient stimuli, regardless of valence, and using that information to bias selection of actions.
机译:预测奖励并避免厌恶条件对于生存至关重要。使用奖励预测的计算模型的最新研究表明,腹侧纹状体具有奖励性奖励。尚不清楚同一系统是否介导生物体对厌恶条件的反应。我们使用功能性磁共振成像血氧水平依赖的测量方法检查了这个问题,而健康的志愿者则通过食欲和反感刺激进行了调节。时差学习算法用于估计奖励预测误差。不管刺激的效价如何,腹侧纹状体中的激活均与预测误差密切相关,表明腹侧纹状体处理显着性预测误差。相反,眼眶额叶皮层和前岛被编码为食欲/平均刺激的差异价。鉴于其位于边缘区和运动区的交界处,腹侧纹状体对于学习动机显着刺激(无论价数)并使用该信息来偏向动作选择可能至关重要。

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