Frank M J, Loughry B, O'Reilly R C
University of Colorado, Boulder, Colorado, USA.
Cogn Affect Behav Neurosci. 2001 Jun;1(2):137-60. doi: 10.3758/cabn.1.2.137.
The frontal cortex and the basal ganglia interact via a relatively well understood and elaborate system of interconnections. In the context of motor function, these interconnections can be understood as disinhibiting, or "releasing the brakes," on frontal motor action plans: The basal ganglia detect appropriate contexts for performing motor actions and enable the frontal cortex to execute such actions at the appropriate time. We build on this idea in the domain of working memory through the use of computational neural network models of this circuit. In our model, the frontal cortex exhibits robust active maintenance, whereas the basal ganglia contribute a selective, dynamic gating function that enables frontal memory representations to be rapidly updated in a task-relevant manner. We apply the model to a novel version of the continuous performance task that requires subroutine-like selective working memory updating and compare and contrast our model with other existing models and theories of frontal-cortex-basal-ganglia interactions.
额叶皮质和基底神经节通过一个相对为人熟知且精细的相互连接系统进行交互。在运动功能的背景下,这些相互连接可被理解为对额叶运动行动计划起到去抑制作用,或者说“松开刹车”:基底神经节检测执行运动动作的合适情境,并使额叶皮质能够在适当的时候执行此类动作。我们通过使用该神经回路的计算神经网络模型,将这一理念拓展到工作记忆领域。在我们的模型中,额叶皮质展现出强大的主动维持功能,而基底神经节则发挥选择性的动态门控功能,使额叶记忆表征能够以与任务相关的方式快速更新。我们将该模型应用于一个新版本的持续性操作任务,该任务需要类似子程序的选择性工作记忆更新,并将我们的模型与其他现有的额叶 - 皮质 - 基底神经节相互作用模型及理论进行比较和对比。