Brain Engineering Research Center, Institute for Research in Fundamental Sciences, Tehran, Iran.
School of Cognitive Sciences, Institute for Research in Fundamental Sciences, Tehran, Iran.
Commun Biol. 2020 Oct 21;3(1):594. doi: 10.1038/s42003-020-01320-6.
A central hypothesis in research on executive function is that controlled information processing is costly and is allocated according to the behavioral benefits it brings. However, while computational theories predict that the benefits of new information depend on prior uncertainty, the cellular effects of uncertainty on the executive network are incompletely understood. Using simultaneous recordings in monkeys, we describe several mechanisms by which the fronto-parietal network reacts to uncertainty. We show that the variance of expected rewards, independently of the value of the rewards, was encoded in single neuron and population spiking activity and local field potential (LFP) oscillations, and, importantly, asymmetrically affected fronto-parietal information transmission (measured through the coherence between spikes and LFPs). Higher uncertainty selectively enhanced information transmission from the parietal to the frontal lobe and suppressed it in the opposite direction, consistent with Bayesian principles that prioritize sensory information according to a decision maker's prior uncertainty.
执行功能研究的一个核心假设是,受控信息处理是有代价的,并且根据其带来的行为效益进行分配。然而,尽管计算理论预测新信息的收益取决于先前的不确定性,但不确定性对执行网络的细胞效应还不完全清楚。我们使用猴子的同步记录,描述了前额顶叶网络对不确定性的几种反应机制。我们表明,预期奖励的方差(与奖励的价值无关)被编码在单个神经元和群体尖峰活动和局部场电位(LFP)振荡中,并且重要的是,不对称地影响了前额顶叶信息传递(通过尖峰和 LFP 之间的相干性来衡量)。较高的不确定性选择性地增强了从顶叶到额叶的信息传递,并抑制了相反方向的信息传递,这与贝叶斯原则一致,即根据决策者的先验不确定性优先处理感觉信息。