School of Life Sciences, Tsinghua University, Beijing, 100084, PR China.
Quantitative Biosciences Program, Georgia Institute of Technology, Atlanta, 30332, GA, USA.
Nat Commun. 2024 Jul 9;15(1):5753. doi: 10.1038/s41467-024-49704-0.
On the timescale of sensory processing, neuronal networks have relatively fixed anatomical connectivity, while functional interactions between neurons can vary depending on the ongoing activity of the neurons within the network. We thus hypothesized that different types of stimuli could lead those networks to display stimulus-dependent functional connectivity patterns. To test this hypothesis, we analyzed single-cell resolution electrophysiological data from the Allen Institute, with simultaneous recordings of stimulus-evoked activity from neurons across 6 different regions of mouse visual cortex. Comparing the functional connectivity patterns during different stimulus types, we made several nontrivial observations: (1) while the frequencies of different functional motifs were preserved across stimuli, the identities of the neurons within those motifs changed; (2) the degree to which functional modules are contained within a single brain region increases with stimulus complexity. Altogether, our work reveals unexpected stimulus-dependence to the way groups of neurons interact to process incoming sensory information.
在感觉处理的时间尺度上,神经元网络具有相对固定的解剖连接,而神经元之间的功能相互作用可以根据网络中神经元的持续活动而变化。因此,我们假设不同类型的刺激可以导致这些网络显示出与刺激相关的功能连接模式。为了验证这一假设,我们分析了艾伦研究所的单细胞分辨率电生理数据,同时记录了来自小鼠视觉皮层 6 个不同区域的神经元对刺激诱发活动的反应。比较不同刺激类型下的功能连接模式,我们有了几个非平凡的发现:(1) 虽然不同功能模式的频率在不同刺激下保持不变,但这些模式中的神经元的身份发生了变化;(2) 功能模块包含在单个脑区的程度随着刺激的复杂性而增加。总的来说,我们的工作揭示了群体神经元相互作用以处理传入感觉信息的方式出人意料地依赖于刺激。