Complexity and competition in appetitive and aversive neural circuits.
Complexity and competition in appetitive and aversive neural circuits.
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DOI：
10.3389/fnins.2012.00170
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发表时间：
2012
影响因子：
4.3
通讯作者：
Salzman CD
中科院分区：
文献类型：
--
作者：
Barberini CL;Morrison SE;Saez A;Lau B;Salzman CD
决策通常涉及在选择行动方案之前使用感官线索来预测可能的奖励或惩罚强化结果。最近的研究揭示了大脑如何学习预测奖励和惩罚的复杂性。杏仁核和眶额皮质是处理食欲和厌恶刺激的两个大脑区域，对学习期间和学习后的神经信号进行分析，揭示了食欲和厌恶回路之间的动态关系。具体来说，这些区域中的食欲和厌恶回路中的信号之间的关系随着学习而变化。此外，虽然食欲和厌恶回路可能经常驱动相反的行为-接近或避免强化取决于其效价-这些回路也可以驱动类似的行为，例如增强唤醒或注意力;这些过程也可能影响选择行为。这些数据突出了在解剖食欲和厌恶神经回路如何相互作用以产生复杂而细致入微的行为方面面临的巨大挑战。
Decision-making often involves using sensory cues to predict possible rewarding or punishing reinforcement outcomes before selecting a course of action. Recent work has revealed complexity in how the brain learns to predict rewards and punishments. Analysis of neural signaling during and after learning in the amygdala and orbitofrontal cortex, two brain areas that process appetitive and aversive stimuli, reveals a dynamic relationship between appetitive and aversive circuits. Specifically, the relationship between signaling in appetitive and aversive circuits in these areas shifts as a function of learning. Furthermore, although appetitive and aversive circuits may often drive opposite behaviors – approaching or avoiding reinforcement depending upon its valence – these circuits can also drive similar behaviors, such as enhanced arousal or attention; these processes also may influence choice behavior. These data highlight the formidable challenges ahead in dissecting how appetitive and aversive neural circuits interact to produce a complex and nuanced range of behaviors.
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DOI：
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发表时间：
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影响因子：
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期刊：
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