Neural mechanisms of cognitive control: an integrative model of stroop task performance and fMRI data
Neural mechanisms of cognitive control: an integrative model of stroop task performance and fMRI data
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DOI：
10.1162/089892906775250012
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发表时间：
2006-01-01
影响因子：
3.2
通讯作者：
O'Reilly, RC
中科院分区：
文献类型：
--
作者：
Herd, SA;Banich, MT;O'Reilly, RC
我们使用神经网络模型来解决概念知识和认知控制之间的联系。这个模型扩展了广泛持有的认知控制理论[Cohen， J. D, Dunbar， K., & McClelland， J. L.]关于自动过程的控制：Stroop效应的并行分布式处理模型。心理学评论，97,332-361,1990]以便解释新的实证研究结果。利用其他计算建模工作，我们假设用于任务控制的表征是从先前存在的类别表征中招募的，例如与我们在这里建模的Stroop任务相关的颜色概念。这个假设允许模型解释其他令人困惑的功能磁共振成像结果，比如大脑处理被忽略信息区域的活动增加。此外，模型连接模式的生物动机变化表明，当抑制是严格的局部时，全球竞争是如何产生的，就像它似乎在皮层中一样。我们还讨论了该理论将任务控制模型与其他形式的注意统一起来的潜力。
We address the connection between conceptual knowledge and cognitive control using a neural network model. This model extends a widely held theory of cognitive control [Cohen, J. D., Dunbar, K., & McClelland, J. L. On the control of automatic processes: A parallel distributed processing model of the Stroop effect. Psychological Review, 97, 332-361, 1990] so that it can explain new empirical findings. Leveraging other computational modeling work, we hypothesize that representations used for task control are recruited from preexisting representations for categories, such as the concept of color relevant to the Stroop task we model here. This hypothesis allows the model to account for otherwise puzzling fMRI results, such as increased activity in brain regions processing to-be-ignored information. In addition, biologically motivated changes in the model's pattern of connectivity show how global competition can arise when inhibition is strictly local, as it seems to be in the cortex. We also discuss the potential for this theory to unify models of task control with other forms of attention.