Lo Chung-Chuan, Wang Xiao-Jing
Volen Center for Complex Systems, Brandeis University, Waltham, Massachusetts 02254, USA.
Nat Neurosci. 2006 Jul;9(7):956-63. doi: 10.1038/nn1722. Epub 2006 Jun 11.
Growing evidence from primate neurophysiology and modeling indicates that in reaction time tasks, a perceptual choice is made when the firing rate of a selective cortical neural population reaches a threshold. This raises two questions: what is the neural substrate of the threshold and how can it be adaptively tuned according to behavioral demands? Using a biophysically based network model of spiking neurons, we show that local dynamics in the superior colliculus gives rise to an all-or-none burst response that signals threshold crossing in upstream cortical neurons. Furthermore, the threshold level depends only weakly on the efficacy of the cortico-collicular pathway. In contrast, the threshold and the rate of reward harvest are sensitive to, and hence can be optimally tuned by, the strength of cortico-striatal synapses, which are known to be modifiable by dopamine-dependent plasticity. Our model provides a framework to describe the main computational steps in a reaction time task and suggests that separate brain pathways are critical to the detection and adjustment of a decision threshold.
来自灵长类动物神经生理学和模型的越来越多的证据表明,在反应时间任务中,当选择性皮质神经群体的放电率达到阈值时,就会做出感知选择。这就提出了两个问题:阈值的神经基础是什么,以及它如何根据行为需求进行适应性调整?使用基于生物物理学的脉冲神经元网络模型,我们表明上丘的局部动力学产生了一种全或无的爆发反应,该反应向上游皮质神经元发出阈值穿越信号。此外,阈值水平仅微弱地依赖于皮质-上丘通路的效能。相比之下,阈值和奖励收获率对皮质-纹状体突触的强度敏感,因此可以通过其进行最佳调整,而皮质-纹状体突触已知可通过多巴胺依赖性可塑性进行修饰。我们的模型提供了一个框架来描述反应时间任务中的主要计算步骤,并表明不同的脑通路对于决策阈值的检测和调整至关重要。