还原(数学)
均方预测误差
计算机科学
人工智能
心理学
数学
机器学习
几何学
作者
Yifei Zhang,Feng Deng,Junqiao Liao,Tom Verguts,Qi Chen
标识
DOI:10.1101/2025.06.24.661140
摘要
Cognitive flexibility, the ability to switch behavior in response to changing rules in an uncertain environment, is crucial for adaptive decision making. Prior research has hypothesized a key role of prediction error and theta oscillations in medial frontal cortex in this process. However, the causal link between such processes remains to be established. To address this, we combined neural stimulation, EEG, behavioral measurement, and computational modelling. Specifically, we applied high-definition transcranial direct current stimulation (HD-tDCS) to modulate theta oscillations as measured via EEG followed by a probabilistic reversal learning task. We find that anodal stimulation reduces theta power and rule prediction error, and it increases the number of trials needed to reliably switch between rules. These findings support the role of rule prediction error signaling as a key mechanism linking neural oscillations to behavioral adaptation and highlight the importance of theta power and rule prediction error for cognitive flexibility. Key words: Cognitive flexibility; Medial frontal cortex (MFC); Rule switching; Theta oscillations; Prediction error; HD-tDCS.
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