低维时空动力学是皮质广泛神经活动的基础。
Low-Dimensional Spatiotemporal Dynamics Underlie Cortex-wide Neural Activity.
机构信息
Princeton Neuroscience Institute, Princeton University, Washington Rd., Princeton, NJ 08540, USA; Department of Molecular Biology, Princeton University, Washington Rd., Princeton, NJ 08540, USA; Rutgers Robert Wood Johnson Medical School, 125 Paterson St., New Brunswick, NJ 08901, USA.
Princeton Neuroscience Institute, Princeton University, Washington Rd., Princeton, NJ 08540, USA; Department of Psychology, Princeton University, Washington Rd., Princeton, NJ 08540, USA.
出版信息
Curr Biol. 2020 Jul 20;30(14):2665-2680.e8. doi: 10.1016/j.cub.2020.04.090. Epub 2020 May 28.
Cognition arises from the dynamic flow of neural activity through the brain. To capture these dynamics, we used mesoscale calcium imaging to record neural activity across the dorsal cortex of awake mice. We found that the large majority of variance in cortex-wide activity (∼75%) could be explained by a limited set of ∼14 "motifs" of neural activity. Each motif captured a unique spatiotemporal pattern of neural activity across the cortex. These motifs generalized across animals and were seen in multiple behavioral environments. Motif expression differed across behavioral states, and specific motifs were engaged by sensory processing, suggesting the motifs reflect core cortical computations. Together, our results show that cortex-wide neural activity is highly dynamic but that these dynamics are restricted to a low-dimensional set of motifs, potentially allowing for efficient control of behavior.
认知源于大脑中神经活动的动态流动。为了捕捉这些动态，我们使用中尺度钙成像技术记录了清醒小鼠背侧皮层的神经活动。我们发现，皮层活动的大部分方差（约 75%）可以用有限的约 14 个“模式”来解释，每个模式都捕获了皮层上独特的时空神经活动模式。这些模式在动物之间具有通用性，并且在多种行为环境中都能看到。模式表达在不同的行为状态下有所不同，特定的模式被感官处理所激活，这表明这些模式反映了核心的皮层计算。总的来说，我们的研究结果表明，皮层的神经活动具有高度动态性，但这些动态性被限制在一个低维的模式集合中，这可能允许对行为进行有效的控制。
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