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首页> 外文期刊>Journal of vision >Greater Oxygenation of Prefrontal Cortex During Information-Integration (vs. Rule-Based) Category Learning
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Greater Oxygenation of Prefrontal Cortex During Information-Integration (vs. Rule-Based) Category Learning

机译:信息整合(相对于基于规则)类别学习过程中前额叶皮层的充氧更多

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The COVIS theory of categorization (Ashby et al 1998, Psychological Review) posits that verbalizable (explicit) rule learning is mediated in part by prefrontal cortex (PFC), while nonverbalizable (implicit) rule learning is mediated chiefly by basal ganglia structures. COVIS also predicts that both learning systems attempt to determine each category response on each trial (i.e., the systems compete). On this basis, we predicted unique patterns of PFC blood flow depending on how participants performed on perceptual category learning tasks that required either selective attention to a single stimulus dimension ("rule-based" learning) or attention to multiple stimulus dimensions at once ("information-integration" learning). Participants completed rule-based and information-integration category learning tasks with two-dimensional stimuli (gabor patches varying in orientation and spatial frequency across trials). Hemodynamic response was measured in dorsolateral PFC using functional Near Infrared Spectroscopy (fNIRS). As expected, we found similar levels of oxygenated hemoglobin (Hbo2) in DLPFC early in learning for both conditions, and a divergence of activity level across tasks over the series of training blocks. This divergence was mediated by the type of rule used in each task. Participants using the incorrect rule type (a 1-dimensional rule) during information integration learning showed higher PFC activity than those using the appropriate rule type. These results support COVIS and suggest that these perceptual category learning tasks provide a dissociation that may be useful for examining changes in PFC integrity due to injury or aging.
机译:COVIS的分类理论(Ashby等,1998,Psychological Review)认为,可言语(显性)规则学习部分由前额叶皮层(PFC)介导,而不可言语(内隐)规则学习主要由基底神经节结构介导。 COVIS还预测这两种学习系统都将尝试确定每个试验的每个类别响应(即系统竞争)。在此基础上,我们根据参与者在需要选择性关注单个刺激维度(“基于规则的”学习)或一次关注多个刺激维度的感知类别学习任务上的表现来预测PFC血流的独特模式。信息集成”学习)。参与者完成了基于规则和信息集成类别的学习任务,并带有二维刺激(整个试验中Gabor斑块的方向和空间频率各不相同)。使用功能性近红外光谱(fNIRS)在背外侧PFC中测量血流动力学反应。正如预期的那样,我们在两种情况的早期学习中都发现DLPFC中的氧合血红蛋白(Hbo2)的水平相似,并且在一系列训练块中,不同任务之间的活动水平存在差异。这种差异是由每个任务中使用的规则类型引起的。在信息集成学习中使用不正确规则类型(一维规则)的参与者显示出比使用适当规则类型的参与者更高的PFC活动。这些结果为COVIS提供了支持,并表明这些感知类别学习任务提供了一种分离机制,可用于检查由于伤害或老化引起的PFC完整性变化。

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