Formal learning theory dissociates brain regions with different temporal integration
Formal learning theory dissociates brain regions with different temporal integration
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DOI：
10.1016/j.neuron.2005.06.008
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发表时间：
2005-07-21
期刊：
影响因子：
16.2
通讯作者：
Nord, N
中科院分区：
文献类型：
--
作者：
Gläscher, J;Büchel, C;Nord, N
学习可以被描述为从过去的经验中提取关于刺激发生的可靠预测。在两个实验中，我们研究了时间整合的时间间隔以前的学习试验在不同的大脑区域使用内隐和外显巴甫洛夫恐惧条件反射与动态变化的强化制度在实验设置。在形式学习理论（Rescorla-Wagner模型）中，时间整合的特征在于学习率。使用功能磁共振成像和这个理论框架，我们能够区分与学习相关的大脑区域，这些区域显示出长时间的整合（例如，杏仁核）和仅在短时间内整合的高级感知区域（例如，梭状面区、海马旁区）。这种方法允许研究与学习相关的大脑激活变化，因为它可以通过计算长期结果预测或瞬时强化预期来分离与过去学习经验整合不同的大脑区域。
Learning can be characterized as the extraction of reliable predictions about stimulus occurrences from past experience. In two experiments, we investigated the interval of temporal integration of previous learning trials in different brain regions using implicit and explicit Pavlovian fear conditioning with a dynamically changing reinforcement regime in an experimental setting. With formal learning theory (the Rescorla-Wagner model), temporal integration is characterized by the learning rate. Using fMRI and this theoretical framework, we are able to distinguish between learning-related brain regions that show long temporal integration (e.g., amygdala) and higher perceptual regions that integrate only over a short period of time (e.g., fusiform face area, parahippocampal place area). This approach allows for the investigation of learning-related changes in brain activation, as it can dissociate brain areas that differ with respect to their integration of past learning experiences by either computing long-term outcome predictions or instantaneous reinforcement expectancies.