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反馈负波及其近10年理论解释
引用本文:李丹阳,李鹏,李红.反馈负波及其近10年理论解释[J].心理科学进展,2018,26(9):1642-1650.
作者姓名:李丹阳  李鹏  李红
作者单位:深圳大学心理与社会学院, 深圳 518060
基金项目:国家自然科学基金项目(31671158和31671150);广东省普通高校创新团队建设项目(2015KCXTD009);广东省普通高校创新团队建设项目(2015WTSCX094);深圳市基础学科布局项目(JCYJ20150729104249783);深圳大学青年教师科研启动项目(2017074);深圳大学人文社科青年扶持项目(16QNFC51)
摘    要:个体决策后的反馈对随后的结果监控和行为调整起着至关重要的作用。事件相关脑电位研究发现, 反馈负波(feedback-related negativity, FRN)是与决策后反馈加工过程紧密相关的脑电成分。近10年来关于FRN的理论解释, 在最初经典的强化学习理论和情绪动机假说的基础上又提出了反应-结果的预测模型、奖赏正波理论以及积极情绪启动模型。未来的研究应该立足于大样本, 采用互补的研究手段和多样的分析技术来探讨FRN的心理意义; 同时考虑将FRN作为奖赏加工的脑电指标, 研究社会互动情境下的人类行为。

关 键 词:反馈负波  强化学习  前扣带回  奖赏正波  奖赏预测误差  
收稿时间:2017-07-21

The updated theories of feedback-related negativity in the last decade
LI Danyang,LI Peng,LI Hong.The updated theories of feedback-related negativity in the last decade[J].Advances In Psychological Science,2018,26(9):1642-1650.
Authors:LI Danyang  LI Peng  LI Hong
Institution:College of psychology and sociology, Shenzhen University, Shenzhen 518060, China
Abstract:External feedback plays a vital role in ongoing outcome monitoring and future behavioral adjustments. Previous event-related potentials (ERPs) studies have consistently associated the feedback- related negativity (FRN) component with feedback processing after decision making. Until now, several theoretical interpretations of FRN were proposed and continuously updated in the last decade, including the classical reinforcement learning theory, affective-motivational hypothesis, reward positivity (RewP) theory, Predicted response-outcome model (PRO model) and Positive affective model. Whereas different models emphasized on different aspects, no unified theory has yet been proposed to integrate all of the existing experimental evidences. Based on these literature reviews, we argued that big-sample data, multiple and complementary technologies are highly necessary in future FRN studies. Moreover, we proposed that FRN should be considered as an electrophysiological index of reward system to investigate human behaviors in complex social interaction contexts.
Keywords:feedback-related negativity  reinforcement learning  anterior cingulate cortex  reward positivity  reward prediction error  
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