UCSF Center for Integrative Neuroscience, University of California, San Francisco, San Francisco, United States.
Coleman Memorial Laboratory, University of California, San Francisco, San Francisco, United States.
Elife. 2018 Jun 5;7:e35587. doi: 10.7554/eLife.35587.
The synchronous activity of groups of neurons is increasingly thought to be important in cortical information processing and transmission. However, most studies of processing in the primary auditory cortex (AI) have viewed neurons as independent filters; little is known about how coordinated AI neuronal activity is expressed throughout cortical columns and how it might enhance the processing of auditory information. To address this, we recorded from populations of neurons in AI cortical columns of anesthetized rats and, using dimensionality reduction techniques, identified multiple coordinated neuronal ensembles (cNEs), which are groups of neurons with reliable synchronous activity. We show that cNEs reflect local network configurations with enhanced information encoding properties that cannot be accounted for by stimulus-driven synchronization alone. Furthermore, similar cNEs were identified in both spontaneous and evoked activity, indicating that columnar cNEs are stable functional constructs that may represent principal units of information processing in AI.
越来越多的人认为,神经元的同步活动在皮质信息处理和传递中很重要。然而,初级听觉皮层(AI)中大多数处理的研究都将神经元视为独立的滤波器;对于协调的 AI 神经元活动如何在整个皮层柱中表达,以及它如何增强听觉信息的处理,人们知之甚少。为了解决这个问题,我们在麻醉大鼠的 AI 皮层柱中记录了神经元群体的活动,并使用降维技术识别了多个协调的神经元集合(cNE),即具有可靠同步活动的神经元组。我们表明,cNE 反映了具有增强的信息编码特性的局部网络结构,这些特性不能仅通过刺激驱动的同步来解释。此外,在自发和诱发活动中都鉴定出了类似的 cNE,表明柱状 cNE 是稳定的功能结构,可能代表 AI 中信息处理的主要单元。