Integrated neural processes for defining potential actions and deciding between them: A computational model
Integrated neural processes for defining potential actions and deciding between them: A computational model
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DOI：
10.1523/jneurosci.5605-05.2006
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发表时间：
2006-09-20
影响因子：
5.3
通讯作者：
Cisek, Paul
中科院分区：
文献类型：
--
作者：
Cisek, Paul
为了成功地完成一个行为目标，比如到达一个物体，动物必须解决两个相关的问题：决定到达哪个物体和规划运动的具体参数。传统上，这两个问题被认为是分开的，决策理论和汽车规划理论基本上是独立发展的。然而，神经数据表明，这些过程涉及相同的大脑区域，并以一种综合的方式进行。在这里，描述了一个计算模型，它既解决了如何指定不同的潜在动作的问题，也解决了大脑如何在它们之间做出决定的问题。在该模型中，多个潜在的动作同时被表示为额顶叶皮质细胞群体内的连续活动区。这些表征参与了一场公开执行的竞争，这一竞争受到来自前额叶皮质的调制影响。模型神经种群的活动模式与潜在动作的空间度量及其相关的决策变量相关联，其方式类似于顶叶、前额叶和运动前皮质的活动。因此，该模型对神经数据提出了一种解释，这些数据很难用一系列理论来解释，这些理论认为决策发生在行动计划之前。除了模拟决策任务中单个神经元的活动外，该模型还再现了人类选择的空间和时间统计的关键方面，并做出了许多可测试的预测。
To successfully accomplish a behavioral goal such as reaching for an object, an animal must solve two related problems: to decide which object to reach and to plan the specific parameters of the movement. Traditionally, these two problems have been viewed as separate, and theories of decision making and motor planning have been developed primarily independently. However, neural data suggests that these processes involve the same brain regions and are performed in an integrated manner. Here, a computational model is described that addresses both the question of how different potential actions are specified and how the brain decides between them. In the model, multiple potential actions are simultaneously represented as continuous regions of activity within populations of cells in frontoparietal cortex. These representations engage in a competition for overt execution that is biased by modulatory influences from prefrontal cortex. The model neural populations exhibit activity patterns that correlate with both the spatial metrics of potential actions and their associated decision variables, in a manner similar to activities in parietal, prefrontal, and premotor cortex. The model therefore suggests an explanation for neural data that have been hard to account for in terms of serial theories that propose that decision making occurs before action planning. In addition to simulating the activity of individual neurons during decision tasks, the model also reproduces key aspects of the spatial and temporal statistics of human choices and makes a number of testable predictions.